{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Appointee Tenure Project\Jason Byers\March 2023\Dart (PRQ)\Output\Hardwiring Committment.MANUSCRIPT.04-21-2023.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}22 Apr 2023, 09:44:04
{txt}
{com}. 
. 
. 
. 
. 
. 
. **** MANUSCRIPT STATISTICAL ANALYSES: INCLUDING STATISTICS NOTED IN THE TEXT ***
. 
. 
. 
. 
. 
. 
. 
. ** RETRIEVE SINGLE EVENT RECORDS DATABASE [N = 860 APPOINTEE OBSERVATIONS: 831 UNCENSORED; 29 CENSORED] **
. *use "C:\Users\gk57526\Dropbox\Confirmation Dynamics Project (Jason Byers)\Appointee Tenure Project\Jason Byers\March 2023\Data\Krause and Byers.SRD.06-03-2022.dta" 
. 
. *
. use "C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Appointee Tenure Project\Jason Byers\March 2023\DART (PRQ)\Data\Krause and Byers.SRD.06-03-2022.dta", replace
{txt}
{com}. 
. *
. *
. 
. 
. 
. 
. 
. ** GENERATE CENSORING VARIABLE FOR HOLDOVER APPOINTEES SERVING BETWEEN/ACROSS ADMINISTRATIONS [=1]; UNCENSRED OBSERVATIONS [=0] ** 
. 
. gen singleadmin_service=1 if holdover==0
{txt}(29 missing values generated)

{com}. *
. replace singleadmin_service=0 if holdover==1
{txt}(29 real changes made)

{com}. *
. *
. tab singleadmin_service

{txt}singleadmin {c |}
   _service {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         29        3.37        3.37
{txt}          1 {c |}{res}        831       96.63      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        860      100.00
{txt}
{com}. 
. 
. ** SET FOR SURVIVAL DATA WITH A SINGLE RECORD PER APPOINTEE OBSERVATION [N = 860: UNCENSORED N = 831; CENSORED N = 29] ** 
. stset okapptdur, failure(singleadmin_service)

     {txt}failure event:  {res}singleadmin_service != 0 & singleadmin_service < .
{txt}obs. time interval:  {res}(0, okapptdur]
{txt} exit on or before:  {res}failure

{txt}{hline 78}
{res}        860{txt}  total observations
{res}          0{txt}  exclusions
{hline 78}
{res}        860{txt}  observations remaining, representing
{res}        831{txt}  failures in single-record/single-failure data
{res}    850,034{txt}  total analysis time at risk and under observation
                                                at risk from t = {res}        0
                                     {txt}earliest observed entry t = {res}        0
                                          {txt}last observed exit t = {res}    4,074
{txt}
{com}. *
. *
. *
. *
. 
. ** ESTIMATE COX SEMIPARAMETRIC AND WEIBULL PARAMETRIC MODELS PRESENTED IN MANUSCRIPT [TABLE 1: MODELS 1 - 4] ** 
. 
. ** NOTE COVARIATES THAT VARY TRHOUGH TIME ARE BASED ON THE STARTING DATE OF APPOINTED SERVICE [I.E., "OKSTART....""]
. 
. 
. 
. 
. **************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. 
. *** COMPUTE TAB ON FULL SAMPLE OF N = 860 TO EVALUATE COMMONALITY OF SHORT TENURES ***
. 
. tab okapptdur

  {txt}okapptdur {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         20 {c |}{res}          1        0.12        0.12
{txt}         23 {c |}{res}          1        0.12        0.23
{txt}         67 {c |}{res}          1        0.12        0.35
{txt}        106 {c |}{res}          1        0.12        0.47
{txt}        120 {c |}{res}          1        0.12        0.58
{txt}        131 {c |}{res}          1        0.12        0.70
{txt}        133 {c |}{res}          1        0.12        0.81
{txt}        153 {c |}{res}          1        0.12        0.93
{txt}        178 {c |}{res}          1        0.12        1.05
{txt}        179 {c |}{res}          1        0.12        1.16
{txt}        184 {c |}{res}          1        0.12        1.28
{txt}        186 {c |}{res}          1        0.12        1.40
{txt}        187 {c |}{res}          1        0.12        1.51
{txt}        193 {c |}{res}          1        0.12        1.63
{txt}        198 {c |}{res}          2        0.23        1.86
{txt}        205 {c |}{res}          1        0.12        1.98
{txt}        206 {c |}{res}          2        0.23        2.21
{txt}        207 {c |}{res}          1        0.12        2.33
{txt}        209 {c |}{res}          2        0.23        2.56
{txt}        211 {c |}{res}          1        0.12        2.67
{txt}        214 {c |}{res}          1        0.12        2.79
{txt}        216 {c |}{res}          1        0.12        2.91
{txt}        217 {c |}{res}          1        0.12        3.02
{txt}        218 {c |}{res}          1        0.12        3.14
{txt}        223 {c |}{res}          1        0.12        3.26
{txt}        224 {c |}{res}          1        0.12        3.37
{txt}        226 {c |}{res}          1        0.12        3.49
{txt}        228 {c |}{res}          1        0.12        3.60
{txt}        233 {c |}{res}          2        0.23        3.84
{txt}        240 {c |}{res}          2        0.23        4.07
{txt}        241 {c |}{res}          1        0.12        4.19
{txt}        244 {c |}{res}          1        0.12        4.30
{txt}        247 {c |}{res}          3        0.35        4.65
{txt}        250 {c |}{res}          2        0.23        4.88
{txt}        253 {c |}{res}          1        0.12        5.00
{txt}        259 {c |}{res}          1        0.12        5.12
{txt}        264 {c |}{res}          1        0.12        5.23
{txt}        272 {c |}{res}          2        0.23        5.47
{txt}        278 {c |}{res}          1        0.12        5.58
{txt}        279 {c |}{res}          2        0.23        5.81
{txt}        280 {c |}{res}          1        0.12        5.93
{txt}        283 {c |}{res}          2        0.23        6.16
{txt}        284 {c |}{res}          1        0.12        6.28
{txt}        288 {c |}{res}          2        0.23        6.51
{txt}        289 {c |}{res}          1        0.12        6.63
{txt}        291 {c |}{res}          1        0.12        6.74
{txt}        292 {c |}{res}          2        0.23        6.98
{txt}        295 {c |}{res}          1        0.12        7.09
{txt}        299 {c |}{res}          2        0.23        7.33
{txt}        302 {c |}{res}          2        0.23        7.56
{txt}        306 {c |}{res}          1        0.12        7.67
{txt}        307 {c |}{res}          1        0.12        7.79
{txt}        308 {c |}{res}          1        0.12        7.91
{txt}        310 {c |}{res}          1        0.12        8.02
{txt}        311 {c |}{res}          1        0.12        8.14
{txt}        312 {c |}{res}          1        0.12        8.26
{txt}        315 {c |}{res}          1        0.12        8.37
{txt}        316 {c |}{res}          1        0.12        8.49
{txt}        319 {c |}{res}          2        0.23        8.72
{txt}        320 {c |}{res}          1        0.12        8.84
{txt}        322 {c |}{res}          2        0.23        9.07
{txt}        323 {c |}{res}          1        0.12        9.19
{txt}        326 {c |}{res}          1        0.12        9.30
{txt}        327 {c |}{res}          2        0.23        9.53
{txt}        330 {c |}{res}          2        0.23        9.77
{txt}        331 {c |}{res}          3        0.35       10.12
{txt}        335 {c |}{res}          3        0.35       10.47
{txt}        336 {c |}{res}          2        0.23       10.70
{txt}        343 {c |}{res}          1        0.12       10.81
{txt}        347 {c |}{res}          1        0.12       10.93
{txt}        349 {c |}{res}          1        0.12       11.05
{txt}        351 {c |}{res}          1        0.12       11.16
{txt}        353 {c |}{res}          1        0.12       11.28
{txt}        358 {c |}{res}          1        0.12       11.40
{txt}        359 {c |}{res}          1        0.12       11.51
{txt}        364 {c |}{res}          1        0.12       11.63
{txt}        365 {c |}{res}          2        0.23       11.86
{txt}        367 {c |}{res}          1        0.12       11.98
{txt}        370 {c |}{res}          1        0.12       12.09
{txt}        371 {c |}{res}          3        0.35       12.44
{txt}        372 {c |}{res}          1        0.12       12.56
{txt}        373 {c |}{res}          2        0.23       12.79
{txt}        377 {c |}{res}          1        0.12       12.91
{txt}        379 {c |}{res}          1        0.12       13.02
{txt}        382 {c |}{res}          1        0.12       13.14
{txt}        383 {c |}{res}          2        0.23       13.37
{txt}        390 {c |}{res}          2        0.23       13.60
{txt}        393 {c |}{res}          1        0.12       13.72
{txt}        394 {c |}{res}          3        0.35       14.07
{txt}        396 {c |}{res}          1        0.12       14.19
{txt}        397 {c |}{res}          1        0.12       14.30
{txt}        401 {c |}{res}          1        0.12       14.42
{txt}        403 {c |}{res}          2        0.23       14.65
{txt}        404 {c |}{res}          1        0.12       14.77
{txt}        405 {c |}{res}          1        0.12       14.88
{txt}        407 {c |}{res}          1        0.12       15.00
{txt}        410 {c |}{res}          2        0.23       15.23
{txt}        411 {c |}{res}          1        0.12       15.35
{txt}        413 {c |}{res}          1        0.12       15.47
{txt}        415 {c |}{res}          1        0.12       15.58
{txt}        416 {c |}{res}          1        0.12       15.70
{txt}        417 {c |}{res}          1        0.12       15.81
{txt}        420 {c |}{res}          1        0.12       15.93
{txt}        421 {c |}{res}          1        0.12       16.05
{txt}        422 {c |}{res}          1        0.12       16.16
{txt}        423 {c |}{res}          1        0.12       16.28
{txt}        424 {c |}{res}          2        0.23       16.51
{txt}        425 {c |}{res}          2        0.23       16.74
{txt}        426 {c |}{res}          1        0.12       16.86
{txt}        427 {c |}{res}          2        0.23       17.09
{txt}        428 {c |}{res}          1        0.12       17.21
{txt}        430 {c |}{res}          2        0.23       17.44
{txt}        432 {c |}{res}          1        0.12       17.56
{txt}        433 {c |}{res}          1        0.12       17.67
{txt}        434 {c |}{res}          2        0.23       17.91
{txt}        436 {c |}{res}          1        0.12       18.02
{txt}        438 {c |}{res}          1        0.12       18.14
{txt}        440 {c |}{res}          1        0.12       18.26
{txt}        446 {c |}{res}          1        0.12       18.37
{txt}        447 {c |}{res}          2        0.23       18.60
{txt}        450 {c |}{res}          1        0.12       18.72
{txt}        454 {c |}{res}          2        0.23       18.95
{txt}        457 {c |}{res}          4        0.47       19.42
{txt}        459 {c |}{res}          1        0.12       19.53
{txt}        461 {c |}{res}          2        0.23       19.77
{txt}        463 {c |}{res}          1        0.12       19.88
{txt}        465 {c |}{res}          1        0.12       20.00
{txt}        470 {c |}{res}          1        0.12       20.12
{txt}        471 {c |}{res}          1        0.12       20.23
{txt}        472 {c |}{res}          1        0.12       20.35
{txt}        473 {c |}{res}          1        0.12       20.47
{txt}        474 {c |}{res}          1        0.12       20.58
{txt}        475 {c |}{res}          1        0.12       20.70
{txt}        483 {c |}{res}          1        0.12       20.81
{txt}        484 {c |}{res}          1        0.12       20.93
{txt}        485 {c |}{res}          1        0.12       21.05
{txt}        487 {c |}{res}          1        0.12       21.16
{txt}        490 {c |}{res}          1        0.12       21.28
{txt}        497 {c |}{res}          1        0.12       21.40
{txt}        498 {c |}{res}          1        0.12       21.51
{txt}        502 {c |}{res}          2        0.23       21.74
{txt}        504 {c |}{res}          1        0.12       21.86
{txt}        505 {c |}{res}          1        0.12       21.98
{txt}        506 {c |}{res}          1        0.12       22.09
{txt}        507 {c |}{res}          1        0.12       22.21
{txt}        508 {c |}{res}          1        0.12       22.33
{txt}        511 {c |}{res}          2        0.23       22.56
{txt}        515 {c |}{res}          2        0.23       22.79
{txt}        516 {c |}{res}          2        0.23       23.02
{txt}        518 {c |}{res}          1        0.12       23.14
{txt}        519 {c |}{res}          3        0.35       23.49
{txt}        520 {c |}{res}          1        0.12       23.60
{txt}        522 {c |}{res}          3        0.35       23.95
{txt}        524 {c |}{res}          1        0.12       24.07
{txt}        525 {c |}{res}          1        0.12       24.19
{txt}        526 {c |}{res}          1        0.12       24.30
{txt}        527 {c |}{res}          2        0.23       24.53
{txt}        530 {c |}{res}          1        0.12       24.65
{txt}        531 {c |}{res}          3        0.35       25.00
{txt}        532 {c |}{res}          5        0.58       25.58
{txt}        533 {c |}{res}          1        0.12       25.70
{txt}        536 {c |}{res}          3        0.35       26.05
{txt}        537 {c |}{res}          1        0.12       26.16
{txt}        538 {c |}{res}          1        0.12       26.28
{txt}        540 {c |}{res}          1        0.12       26.40
{txt}        541 {c |}{res}          1        0.12       26.51
{txt}        543 {c |}{res}          1        0.12       26.63
{txt}        544 {c |}{res}          1        0.12       26.74
{txt}        545 {c |}{res}          1        0.12       26.86
{txt}        550 {c |}{res}          1        0.12       26.98
{txt}        551 {c |}{res}          1        0.12       27.09
{txt}        552 {c |}{res}          1        0.12       27.21
{txt}        554 {c |}{res}          1        0.12       27.33
{txt}        556 {c |}{res}          4        0.47       27.79
{txt}        559 {c |}{res}          1        0.12       27.91
{txt}        563 {c |}{res}          1        0.12       28.02
{txt}        564 {c |}{res}          1        0.12       28.14
{txt}        566 {c |}{res}          1        0.12       28.26
{txt}        568 {c |}{res}          1        0.12       28.37
{txt}        569 {c |}{res}          1        0.12       28.49
{txt}        571 {c |}{res}          1        0.12       28.60
{txt}        573 {c |}{res}          1        0.12       28.72
{txt}        574 {c |}{res}          1        0.12       28.84
{txt}        575 {c |}{res}          1        0.12       28.95
{txt}        578 {c |}{res}          1        0.12       29.07
{txt}        580 {c |}{res}          1        0.12       29.19
{txt}        582 {c |}{res}          1        0.12       29.30
{txt}        587 {c |}{res}          1        0.12       29.42
{txt}        589 {c |}{res}          1        0.12       29.53
{txt}        590 {c |}{res}          1        0.12       29.65
{txt}        594 {c |}{res}          2        0.23       29.88
{txt}        595 {c |}{res}          1        0.12       30.00
{txt}        598 {c |}{res}          2        0.23       30.23
{txt}        601 {c |}{res}          5        0.58       30.81
{txt}        602 {c |}{res}          2        0.23       31.05
{txt}        603 {c |}{res}          1        0.12       31.16
{txt}        604 {c |}{res}          1        0.12       31.28
{txt}        606 {c |}{res}          1        0.12       31.40
{txt}        607 {c |}{res}          1        0.12       31.51
{txt}        608 {c |}{res}          1        0.12       31.63
{txt}        609 {c |}{res}          1        0.12       31.74
{txt}        610 {c |}{res}          1        0.12       31.86
{txt}        614 {c |}{res}          1        0.12       31.98
{txt}        617 {c |}{res}          1        0.12       32.09
{txt}        622 {c |}{res}          1        0.12       32.21
{txt}        626 {c |}{res}          1        0.12       32.33
{txt}        630 {c |}{res}          1        0.12       32.44
{txt}        634 {c |}{res}          1        0.12       32.56
{txt}        636 {c |}{res}          1        0.12       32.67
{txt}        638 {c |}{res}          2        0.23       32.91
{txt}        646 {c |}{res}          1        0.12       33.02
{txt}        648 {c |}{res}          1        0.12       33.14
{txt}        651 {c |}{res}          1        0.12       33.26
{txt}        653 {c |}{res}          1        0.12       33.37
{txt}        654 {c |}{res}          2        0.23       33.60
{txt}        656 {c |}{res}          1        0.12       33.72
{txt}        657 {c |}{res}          1        0.12       33.84
{txt}        658 {c |}{res}          1        0.12       33.95
{txt}        660 {c |}{res}          1        0.12       34.07
{txt}        665 {c |}{res}          1        0.12       34.19
{txt}        667 {c |}{res}          1        0.12       34.30
{txt}        671 {c |}{res}          1        0.12       34.42
{txt}        674 {c |}{res}          3        0.35       34.77
{txt}        678 {c |}{res}          1        0.12       34.88
{txt}        679 {c |}{res}          1        0.12       35.00
{txt}        684 {c |}{res}          1        0.12       35.12
{txt}        686 {c |}{res}          1        0.12       35.23
{txt}        688 {c |}{res}          1        0.12       35.35
{txt}        690 {c |}{res}          1        0.12       35.47
{txt}        694 {c |}{res}          3        0.35       35.81
{txt}        696 {c |}{res}          2        0.23       36.05
{txt}        699 {c |}{res}          1        0.12       36.16
{txt}        700 {c |}{res}          3        0.35       36.51
{txt}        702 {c |}{res}          1        0.12       36.63
{txt}        704 {c |}{res}          1        0.12       36.74
{txt}        706 {c |}{res}          2        0.23       36.98
{txt}        708 {c |}{res}          2        0.23       37.21
{txt}        709 {c |}{res}          1        0.12       37.33
{txt}        710 {c |}{res}          2        0.23       37.56
{txt}        712 {c |}{res}          1        0.12       37.67
{txt}        717 {c |}{res}          2        0.23       37.91
{txt}        718 {c |}{res}          1        0.12       38.02
{txt}        725 {c |}{res}          1        0.12       38.14
{txt}        734 {c |}{res}          1        0.12       38.26
{txt}        738 {c |}{res}          1        0.12       38.37
{txt}        739 {c |}{res}          1        0.12       38.49
{txt}        740 {c |}{res}          2        0.23       38.72
{txt}        741 {c |}{res}          1        0.12       38.84
{txt}        742 {c |}{res}          4        0.47       39.30
{txt}        743 {c |}{res}          1        0.12       39.42
{txt}        749 {c |}{res}          2        0.23       39.65
{txt}        750 {c |}{res}          1        0.12       39.77
{txt}        753 {c |}{res}          1        0.12       39.88
{txt}        754 {c |}{res}          2        0.23       40.12
{txt}        757 {c |}{res}          3        0.35       40.47
{txt}        759 {c |}{res}          1        0.12       40.58
{txt}        761 {c |}{res}          1        0.12       40.70
{txt}        764 {c |}{res}          1        0.12       40.81
{txt}        765 {c |}{res}          1        0.12       40.93
{txt}        769 {c |}{res}          2        0.23       41.16
{txt}        770 {c |}{res}          1        0.12       41.28
{txt}        771 {c |}{res}          4        0.47       41.74
{txt}        772 {c |}{res}          2        0.23       41.98
{txt}        773 {c |}{res}          1        0.12       42.09
{txt}        776 {c |}{res}          1        0.12       42.21
{txt}        779 {c |}{res}          1        0.12       42.33
{txt}        780 {c |}{res}          2        0.23       42.56
{txt}        781 {c |}{res}          1        0.12       42.67
{txt}        785 {c |}{res}          2        0.23       42.91
{txt}        792 {c |}{res}          1        0.12       43.02
{txt}        794 {c |}{res}          1        0.12       43.14
{txt}        796 {c |}{res}          1        0.12       43.26
{txt}        797 {c |}{res}          3        0.35       43.60
{txt}        798 {c |}{res}          1        0.12       43.72
{txt}        803 {c |}{res}          1        0.12       43.84
{txt}        812 {c |}{res}          2        0.23       44.07
{txt}        815 {c |}{res}          1        0.12       44.19
{txt}        816 {c |}{res}          2        0.23       44.42
{txt}        817 {c |}{res}          3        0.35       44.77
{txt}        818 {c |}{res}          1        0.12       44.88
{txt}        820 {c |}{res}          1        0.12       45.00
{txt}        821 {c |}{res}          1        0.12       45.12
{txt}        822 {c |}{res}          1        0.12       45.23
{txt}        824 {c |}{res}          1        0.12       45.35
{txt}        825 {c |}{res}          1        0.12       45.47
{txt}        829 {c |}{res}          1        0.12       45.58
{txt}        835 {c |}{res}          1        0.12       45.70
{txt}        836 {c |}{res}          1        0.12       45.81
{txt}        839 {c |}{res}          1        0.12       45.93
{txt}        840 {c |}{res}          1        0.12       46.05
{txt}        843 {c |}{res}          1        0.12       46.16
{txt}        844 {c |}{res}          1        0.12       46.28
{txt}        845 {c |}{res}          1        0.12       46.40
{txt}        847 {c |}{res}          1        0.12       46.51
{txt}        852 {c |}{res}          1        0.12       46.63
{txt}        853 {c |}{res}          1        0.12       46.74
{txt}        855 {c |}{res}          1        0.12       46.86
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{txt}       2911 {c |}{res}          1        0.12       98.84
{txt}       2919 {c |}{res}          1        0.12       98.95
{txt}       2920 {c |}{res}          3        0.35       99.30
{txt}       2921 {c |}{res}          1        0.12       99.42
{txt}       2992 {c |}{res}          1        0.12       99.53
{txt}       3118 {c |}{res}          1        0.12       99.65
{txt}       3229 {c |}{res}          1        0.12       99.77
{txt}       3523 {c |}{res}          1        0.12       99.88
{txt}       4074 {c |}{res}          1        0.12      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        860      100.00
{txt}
{com}. 
. *
. *
. *
. 
. *** COMPUTE TAB ON TRUNCATED SAMPLE EXCLUDING LAST TWO YEARS OF EACH PRESIDENTIAL TERM: N = 610 [70.93% OF FULL SAMPLE] TO EVALUATE COMMONALITY OF SHORT TENURES ***
. 
. tab okapptdur if okstartadyr==1 | okstartadyr==2 | okstartadyr==5 | okstartadyr==6

  {txt}okapptdur {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         67 {c |}{res}          1        0.16        0.16
{txt}        120 {c |}{res}          1        0.16        0.33
{txt}        193 {c |}{res}          1        0.16        0.49
{txt}        198 {c |}{res}          1        0.16        0.66
{txt}        205 {c |}{res}          1        0.16        0.82
{txt}        206 {c |}{res}          1        0.16        0.98
{txt}        209 {c |}{res}          1        0.16        1.15
{txt}        223 {c |}{res}          1        0.16        1.31
{txt}        224 {c |}{res}          1        0.16        1.48
{txt}        240 {c |}{res}          1        0.16        1.64
{txt}        241 {c |}{res}          1        0.16        1.80
{txt}        247 {c |}{res}          1        0.16        1.97
{txt}        259 {c |}{res}          1        0.16        2.13
{txt}        279 {c |}{res}          1        0.16        2.30
{txt}        283 {c |}{res}          1        0.16        2.46
{txt}        284 {c |}{res}          1        0.16        2.62
{txt}        288 {c |}{res}          1        0.16        2.79
{txt}        289 {c |}{res}          1        0.16        2.95
{txt}        292 {c |}{res}          1        0.16        3.11
{txt}        299 {c |}{res}          2        0.33        3.44
{txt}        306 {c |}{res}          1        0.16        3.61
{txt}        307 {c |}{res}          1        0.16        3.77
{txt}        308 {c |}{res}          1        0.16        3.93
{txt}        310 {c |}{res}          1        0.16        4.10
{txt}        311 {c |}{res}          1        0.16        4.26
{txt}        316 {c |}{res}          1        0.16        4.43
{txt}        319 {c |}{res}          1        0.16        4.59
{txt}        322 {c |}{res}          2        0.33        4.92
{txt}        323 {c |}{res}          1        0.16        5.08
{txt}        326 {c |}{res}          1        0.16        5.25
{txt}        331 {c |}{res}          2        0.33        5.57
{txt}        335 {c |}{res}          2        0.33        5.90
{txt}        336 {c |}{res}          1        0.16        6.07
{txt}        343 {c |}{res}          1        0.16        6.23
{txt}        364 {c |}{res}          1        0.16        6.39
{txt}        367 {c |}{res}          1        0.16        6.56
{txt}        371 {c |}{res}          1        0.16        6.72
{txt}        372 {c |}{res}          1        0.16        6.89
{txt}        373 {c |}{res}          1        0.16        7.05
{txt}        377 {c |}{res}          1        0.16        7.21
{txt}        379 {c |}{res}          1        0.16        7.38
{txt}        382 {c |}{res}          1        0.16        7.54
{txt}        390 {c |}{res}          1        0.16        7.70
{txt}        394 {c |}{res}          1        0.16        7.87
{txt}        401 {c |}{res}          1        0.16        8.03
{txt}        403 {c |}{res}          1        0.16        8.20
{txt}        404 {c |}{res}          1        0.16        8.36
{txt}        405 {c |}{res}          1        0.16        8.52
{txt}        422 {c |}{res}          1        0.16        8.69
{txt}        425 {c |}{res}          1        0.16        8.85
{txt}        427 {c |}{res}          2        0.33        9.18
{txt}        428 {c |}{res}          1        0.16        9.34
{txt}        433 {c |}{res}          1        0.16        9.51
{txt}        434 {c |}{res}          2        0.33        9.84
{txt}        436 {c |}{res}          1        0.16       10.00
{txt}        457 {c |}{res}          1        0.16       10.16
{txt}        465 {c |}{res}          1        0.16       10.33
{txt}        470 {c |}{res}          1        0.16       10.49
{txt}        471 {c |}{res}          1        0.16       10.66
{txt}        474 {c |}{res}          1        0.16       10.82
{txt}        475 {c |}{res}          1        0.16       10.98
{txt}        483 {c |}{res}          1        0.16       11.15
{txt}        485 {c |}{res}          1        0.16       11.31
{txt}        490 {c |}{res}          1        0.16       11.48
{txt}        498 {c |}{res}          1        0.16       11.64
{txt}        502 {c |}{res}          1        0.16       11.80
{txt}        505 {c |}{res}          1        0.16       11.97
{txt}        507 {c |}{res}          1        0.16       12.13
{txt}        508 {c |}{res}          1        0.16       12.30
{txt}        515 {c |}{res}          1        0.16       12.46
{txt}        516 {c |}{res}          1        0.16       12.62
{txt}        518 {c |}{res}          1        0.16       12.79
{txt}        519 {c |}{res}          2        0.33       13.11
{txt}        520 {c |}{res}          1        0.16       13.28
{txt}        522 {c |}{res}          1        0.16       13.44
{txt}        525 {c |}{res}          1        0.16       13.61
{txt}        527 {c |}{res}          2        0.33       13.93
{txt}        530 {c |}{res}          1        0.16       14.10
{txt}        532 {c |}{res}          2        0.33       14.43
{txt}        541 {c |}{res}          1        0.16       14.59
{txt}        545 {c |}{res}          1        0.16       14.75
{txt}        556 {c |}{res}          3        0.49       15.25
{txt}        559 {c |}{res}          1        0.16       15.41
{txt}        569 {c |}{res}          1        0.16       15.57
{txt}        571 {c |}{res}          1        0.16       15.74
{txt}        574 {c |}{res}          1        0.16       15.90
{txt}        578 {c |}{res}          1        0.16       16.07
{txt}        582 {c |}{res}          1        0.16       16.23
{txt}        590 {c |}{res}          1        0.16       16.39
{txt}        594 {c |}{res}          1        0.16       16.56
{txt}        595 {c |}{res}          1        0.16       16.72
{txt}        598 {c |}{res}          1        0.16       16.89
{txt}        601 {c |}{res}          2        0.33       17.21
{txt}        606 {c |}{res}          1        0.16       17.38
{txt}        608 {c |}{res}          1        0.16       17.54
{txt}        610 {c |}{res}          1        0.16       17.70
{txt}        630 {c |}{res}          1        0.16       17.87
{txt}        634 {c |}{res}          1        0.16       18.03
{txt}        638 {c |}{res}          2        0.33       18.36
{txt}        651 {c |}{res}          1        0.16       18.52
{txt}        653 {c |}{res}          1        0.16       18.69
{txt}        654 {c |}{res}          1        0.16       18.85
{txt}        656 {c |}{res}          1        0.16       19.02
{txt}        657 {c |}{res}          1        0.16       19.18
{txt}        658 {c |}{res}          1        0.16       19.34
{txt}        660 {c |}{res}          1        0.16       19.51
{txt}        667 {c |}{res}          1        0.16       19.67
{txt}        671 {c |}{res}          1        0.16       19.84
{txt}        674 {c |}{res}          1        0.16       20.00
{txt}        678 {c |}{res}          1        0.16       20.16
{txt}        679 {c |}{res}          1        0.16       20.33
{txt}        688 {c |}{res}          1        0.16       20.49
{txt}        694 {c |}{res}          2        0.33       20.82
{txt}        696 {c |}{res}          2        0.33       21.15
{txt}        699 {c |}{res}          1        0.16       21.31
{txt}        700 {c |}{res}          3        0.49       21.80
{txt}        704 {c |}{res}          1        0.16       21.97
{txt}        706 {c |}{res}          2        0.33       22.30
{txt}        708 {c |}{res}          2        0.33       22.62
{txt}        709 {c |}{res}          1        0.16       22.79
{txt}        710 {c |}{res}          2        0.33       23.11
{txt}        717 {c |}{res}          1        0.16       23.28
{txt}        718 {c |}{res}          1        0.16       23.44
{txt}        725 {c |}{res}          1        0.16       23.61
{txt}        734 {c |}{res}          1        0.16       23.77
{txt}        738 {c |}{res}          1        0.16       23.93
{txt}        741 {c |}{res}          1        0.16       24.10
{txt}        742 {c |}{res}          3        0.49       24.59
{txt}        743 {c |}{res}          1        0.16       24.75
{txt}        749 {c |}{res}          2        0.33       25.08
{txt}        750 {c |}{res}          1        0.16       25.25
{txt}        753 {c |}{res}          1        0.16       25.41
{txt}        754 {c |}{res}          1        0.16       25.57
{txt}        757 {c |}{res}          2        0.33       25.90
{txt}        761 {c |}{res}          1        0.16       26.07
{txt}        764 {c |}{res}          1        0.16       26.23
{txt}        765 {c |}{res}          1        0.16       26.39
{txt}        769 {c |}{res}          2        0.33       26.72
{txt}        770 {c |}{res}          1        0.16       26.89
{txt}        771 {c |}{res}          4        0.66       27.54
{txt}        772 {c |}{res}          2        0.33       27.87
{txt}        773 {c |}{res}          1        0.16       28.03
{txt}        776 {c |}{res}          1        0.16       28.20
{txt}        779 {c |}{res}          1        0.16       28.36
{txt}        780 {c |}{res}          1        0.16       28.52
{txt}        781 {c |}{res}          1        0.16       28.69
{txt}        785 {c |}{res}          2        0.33       29.02
{txt}        796 {c |}{res}          1        0.16       29.18
{txt}        797 {c |}{res}          2        0.33       29.51
{txt}        798 {c |}{res}          1        0.16       29.67
{txt}        803 {c |}{res}          1        0.16       29.84
{txt}        812 {c |}{res}          2        0.33       30.16
{txt}        815 {c |}{res}          1        0.16       30.33
{txt}        816 {c |}{res}          1        0.16       30.49
{txt}        817 {c |}{res}          2        0.33       30.82
{txt}        820 {c |}{res}          1        0.16       30.98
{txt}        821 {c |}{res}          1        0.16       31.15
{txt}        822 {c |}{res}          1        0.16       31.31
{txt}        824 {c |}{res}          1        0.16       31.48
{txt}        825 {c |}{res}          1        0.16       31.64
{txt}        829 {c |}{res}          1        0.16       31.80
{txt}        835 {c |}{res}          1        0.16       31.97
{txt}        836 {c |}{res}          1        0.16       32.13
{txt}        839 {c |}{res}          1        0.16       32.30
{txt}        843 {c |}{res}          1        0.16       32.46
{txt}        844 {c |}{res}          1        0.16       32.62
{txt}        847 {c |}{res}          1        0.16       32.79
{txt}        852 {c |}{res}          1        0.16       32.95
{txt}        853 {c |}{res}          1        0.16       33.11
{txt}        855 {c |}{res}          1        0.16       33.28
{txt}        863 {c |}{res}          1        0.16       33.44
{txt}        867 {c |}{res}          1        0.16       33.61
{txt}        877 {c |}{res}          2        0.33       33.93
{txt}        881 {c |}{res}          1        0.16       34.10
{txt}        884 {c |}{res}          1        0.16       34.26
{txt}        885 {c |}{res}          1        0.16       34.43
{txt}        886 {c |}{res}          1        0.16       34.59
{txt}        887 {c |}{res}          1        0.16       34.75
{txt}        889 {c |}{res}          3        0.49       35.25
{txt}        891 {c |}{res}          1        0.16       35.41
{txt}        893 {c |}{res}          1        0.16       35.57
{txt}        897 {c |}{res}          1        0.16       35.74
{txt}        898 {c |}{res}          1        0.16       35.90
{txt}        900 {c |}{res}          1        0.16       36.07
{txt}        901 {c |}{res}          1        0.16       36.23
{txt}        902 {c |}{res}          2        0.33       36.56
{txt}        903 {c |}{res}          1        0.16       36.72
{txt}        904 {c |}{res}          1        0.16       36.89
{txt}        907 {c |}{res}          3        0.49       37.38
{txt}        910 {c |}{res}          1        0.16       37.54
{txt}        912 {c |}{res}          1        0.16       37.70
{txt}        915 {c |}{res}          1        0.16       37.87
{txt}        920 {c |}{res}          2        0.33       38.20
{txt}        921 {c |}{res}          1        0.16       38.36
{txt}        922 {c |}{res}          2        0.33       38.69
{txt}        923 {c |}{res}          1        0.16       38.85
{txt}        925 {c |}{res}          1        0.16       39.02
{txt}        931 {c |}{res}          1        0.16       39.18
{txt}        932 {c |}{res}          1        0.16       39.34
{txt}        933 {c |}{res}          1        0.16       39.51
{txt}        935 {c |}{res}          3        0.49       40.00
{txt}        936 {c |}{res}          1        0.16       40.16
{txt}        937 {c |}{res}          1        0.16       40.33
{txt}        939 {c |}{res}          1        0.16       40.49
{txt}        940 {c |}{res}          1        0.16       40.66
{txt}        942 {c |}{res}          2        0.33       40.98
{txt}        943 {c |}{res}          2        0.33       41.31
{txt}        947 {c |}{res}          1        0.16       41.48
{txt}        949 {c |}{res}          2        0.33       41.80
{txt}        950 {c |}{res}          1        0.16       41.97
{txt}        954 {c |}{res}          1        0.16       42.13
{txt}        955 {c |}{res}          1        0.16       42.30
{txt}        956 {c |}{res}          1        0.16       42.46
{txt}        957 {c |}{res}          2        0.33       42.79
{txt}        959 {c |}{res}          1        0.16       42.95
{txt}        960 {c |}{res}          2        0.33       43.28
{txt}        963 {c |}{res}          1        0.16       43.44
{txt}        966 {c |}{res}          2        0.33       43.77
{txt}        967 {c |}{res}          1        0.16       43.93
{txt}        970 {c |}{res}          2        0.33       44.26
{txt}        971 {c |}{res}          1        0.16       44.43
{txt}        977 {c |}{res}          1        0.16       44.59
{txt}        979 {c |}{res}          1        0.16       44.75
{txt}        989 {c |}{res}          1        0.16       44.92
{txt}        990 {c |}{res}          1        0.16       45.08
{txt}        991 {c |}{res}          1        0.16       45.25
{txt}        993 {c |}{res}          2        0.33       45.57
{txt}        996 {c |}{res}          1        0.16       45.74
{txt}       1004 {c |}{res}          2        0.33       46.07
{txt}       1007 {c |}{res}          2        0.33       46.39
{txt}       1009 {c |}{res}          1        0.16       46.56
{txt}       1014 {c |}{res}          1        0.16       46.72
{txt}       1015 {c |}{res}          1        0.16       46.89
{txt}       1019 {c |}{res}          1        0.16       47.05
{txt}       1025 {c |}{res}          1        0.16       47.21
{txt}       1029 {c |}{res}          1        0.16       47.38
{txt}       1034 {c |}{res}          1        0.16       47.54
{txt}       1035 {c |}{res}          1        0.16       47.70
{txt}       1038 {c |}{res}          1        0.16       47.87
{txt}       1043 {c |}{res}          1        0.16       48.03
{txt}       1044 {c |}{res}          1        0.16       48.20
{txt}       1047 {c |}{res}          1        0.16       48.36
{txt}       1050 {c |}{res}          1        0.16       48.52
{txt}       1051 {c |}{res}          1        0.16       48.69
{txt}       1052 {c |}{res}          3        0.49       49.18
{txt}       1053 {c |}{res}          1        0.16       49.34
{txt}       1056 {c |}{res}          2        0.33       49.67
{txt}       1058 {c |}{res}          2        0.33       50.00
{txt}       1062 {c |}{res}          1        0.16       50.16
{txt}       1074 {c |}{res}          1        0.16       50.33
{txt}       1075 {c |}{res}          1        0.16       50.49
{txt}       1077 {c |}{res}          1        0.16       50.66
{txt}       1078 {c |}{res}          4        0.66       51.31
{txt}       1084 {c |}{res}          1        0.16       51.48
{txt}       1086 {c |}{res}          3        0.49       51.97
{txt}       1088 {c |}{res}          1        0.16       52.13
{txt}       1090 {c |}{res}          1        0.16       52.30
{txt}       1091 {c |}{res}          2        0.33       52.62
{txt}       1100 {c |}{res}          1        0.16       52.79
{txt}       1102 {c |}{res}          1        0.16       52.95
{txt}       1106 {c |}{res}          2        0.33       53.28
{txt}       1109 {c |}{res}          1        0.16       53.44
{txt}       1120 {c |}{res}          1        0.16       53.61
{txt}       1124 {c |}{res}          1        0.16       53.77
{txt}       1128 {c |}{res}          1        0.16       53.93
{txt}       1129 {c |}{res}          1        0.16       54.10
{txt}       1134 {c |}{res}          3        0.49       54.59
{txt}       1135 {c |}{res}          1        0.16       54.75
{txt}       1138 {c |}{res}          1        0.16       54.92
{txt}       1142 {c |}{res}          1        0.16       55.08
{txt}       1143 {c |}{res}          1        0.16       55.25
{txt}       1146 {c |}{res}          1        0.16       55.41
{txt}       1152 {c |}{res}          1        0.16       55.57
{txt}       1155 {c |}{res}          1        0.16       55.74
{txt}       1156 {c |}{res}          2        0.33       56.07
{txt}       1157 {c |}{res}          3        0.49       56.56
{txt}       1158 {c |}{res}          2        0.33       56.89
{txt}       1160 {c |}{res}          1        0.16       57.05
{txt}       1161 {c |}{res}          2        0.33       57.38
{txt}       1164 {c |}{res}          2        0.33       57.70
{txt}       1165 {c |}{res}          2        0.33       58.03
{txt}       1167 {c |}{res}          1        0.16       58.20
{txt}       1168 {c |}{res}          2        0.33       58.52
{txt}       1169 {c |}{res}          1        0.16       58.69
{txt}       1171 {c |}{res}          3        0.49       59.18
{txt}       1174 {c |}{res}          1        0.16       59.34
{txt}       1175 {c |}{res}          2        0.33       59.67
{txt}       1180 {c |}{res}          1        0.16       59.84
{txt}       1181 {c |}{res}          1        0.16       60.00
{txt}       1186 {c |}{res}          1        0.16       60.16
{txt}       1187 {c |}{res}          2        0.33       60.49
{txt}       1190 {c |}{res}          1        0.16       60.66
{txt}       1193 {c |}{res}          1        0.16       60.82
{txt}       1195 {c |}{res}          1        0.16       60.98
{txt}       1200 {c |}{res}          1        0.16       61.15
{txt}       1204 {c |}{res}          1        0.16       61.31
{txt}       1210 {c |}{res}          1        0.16       61.48
{txt}       1211 {c |}{res}          1        0.16       61.64
{txt}       1215 {c |}{res}          1        0.16       61.80
{txt}       1219 {c |}{res}          1        0.16       61.97
{txt}       1227 {c |}{res}          1        0.16       62.13
{txt}       1237 {c |}{res}          1        0.16       62.30
{txt}       1239 {c |}{res}          2        0.33       62.62
{txt}       1241 {c |}{res}          1        0.16       62.79
{txt}       1242 {c |}{res}          1        0.16       62.95
{txt}       1261 {c |}{res}          1        0.16       63.11
{txt}       1262 {c |}{res}          1        0.16       63.28
{txt}       1264 {c |}{res}          4        0.66       63.93
{txt}       1265 {c |}{res}          2        0.33       64.26
{txt}       1266 {c |}{res}          1        0.16       64.43
{txt}       1267 {c |}{res}          1        0.16       64.59
{txt}       1268 {c |}{res}          1        0.16       64.75
{txt}       1275 {c |}{res}          1        0.16       64.92
{txt}       1276 {c |}{res}          1        0.16       65.08
{txt}       1283 {c |}{res}          1        0.16       65.25
{txt}       1290 {c |}{res}          1        0.16       65.41
{txt}       1291 {c |}{res}          2        0.33       65.74
{txt}       1294 {c |}{res}          1        0.16       65.90
{txt}       1295 {c |}{res}          2        0.33       66.23
{txt}       1297 {c |}{res}          1        0.16       66.39
{txt}       1299 {c |}{res}          1        0.16       66.56
{txt}       1303 {c |}{res}          2        0.33       66.89
{txt}       1304 {c |}{res}          1        0.16       67.05
{txt}       1305 {c |}{res}          1        0.16       67.21
{txt}       1309 {c |}{res}          2        0.33       67.54
{txt}       1314 {c |}{res}          1        0.16       67.70
{txt}       1321 {c |}{res}          1        0.16       67.87
{txt}       1325 {c |}{res}          1        0.16       68.03
{txt}       1327 {c |}{res}          1        0.16       68.20
{txt}       1328 {c |}{res}          2        0.33       68.52
{txt}       1329 {c |}{res}          1        0.16       68.69
{txt}       1333 {c |}{res}          1        0.16       68.85
{txt}       1334 {c |}{res}          2        0.33       69.18
{txt}       1339 {c |}{res}          1        0.16       69.34
{txt}       1342 {c |}{res}          1        0.16       69.51
{txt}       1346 {c |}{res}          1        0.16       69.67
{txt}       1357 {c |}{res}          1        0.16       69.84
{txt}       1358 {c |}{res}          1        0.16       70.00
{txt}       1359 {c |}{res}          3        0.49       70.49
{txt}       1360 {c |}{res}          1        0.16       70.66
{txt}       1361 {c |}{res}          1        0.16       70.82
{txt}       1362 {c |}{res}          2        0.33       71.15
{txt}       1363 {c |}{res}          1        0.16       71.31
{txt}       1367 {c |}{res}          1        0.16       71.48
{txt}       1377 {c |}{res}          1        0.16       71.64
{txt}       1381 {c |}{res}          1        0.16       71.80
{txt}       1383 {c |}{res}          1        0.16       71.97
{txt}       1384 {c |}{res}          1        0.16       72.13
{txt}       1390 {c |}{res}          1        0.16       72.30
{txt}       1392 {c |}{res}          1        0.16       72.46
{txt}       1395 {c |}{res}          1        0.16       72.62
{txt}       1397 {c |}{res}          1        0.16       72.79
{txt}       1398 {c |}{res}          1        0.16       72.95
{txt}       1400 {c |}{res}          1        0.16       73.11
{txt}       1403 {c |}{res}          1        0.16       73.28
{txt}       1404 {c |}{res}          2        0.33       73.61
{txt}       1405 {c |}{res}          2        0.33       73.93
{txt}       1407 {c |}{res}          1        0.16       74.10
{txt}       1409 {c |}{res}          1        0.16       74.26
{txt}       1410 {c |}{res}          1        0.16       74.43
{txt}       1413 {c |}{res}          1        0.16       74.59
{txt}       1415 {c |}{res}          2        0.33       74.92
{txt}       1419 {c |}{res}          1        0.16       75.08
{txt}       1420 {c |}{res}          1        0.16       75.25
{txt}       1421 {c |}{res}          1        0.16       75.41
{txt}       1424 {c |}{res}          1        0.16       75.57
{txt}       1426 {c |}{res}          1        0.16       75.74
{txt}       1435 {c |}{res}          2        0.33       76.07
{txt}       1436 {c |}{res}          3        0.49       76.56
{txt}       1438 {c |}{res}          1        0.16       76.72
{txt}       1439 {c |}{res}          1        0.16       76.89
{txt}       1441 {c |}{res}          1        0.16       77.05
{txt}       1442 {c |}{res}          3        0.49       77.54
{txt}       1443 {c |}{res}          3        0.49       78.03
{txt}       1444 {c |}{res}          2        0.33       78.36
{txt}       1446 {c |}{res}          1        0.16       78.52
{txt}       1448 {c |}{res}          1        0.16       78.69
{txt}       1449 {c |}{res}          2        0.33       79.02
{txt}       1450 {c |}{res}          1        0.16       79.18
{txt}       1451 {c |}{res}          1        0.16       79.34
{txt}       1452 {c |}{res}          1        0.16       79.51
{txt}       1453 {c |}{res}          1        0.16       79.67
{txt}       1455 {c |}{res}          2        0.33       80.00
{txt}       1456 {c |}{res}          1        0.16       80.16
{txt}       1457 {c |}{res}          3        0.49       80.66
{txt}       1458 {c |}{res}          4        0.66       81.31
{txt}       1459 {c |}{res}          2        0.33       81.64
{txt}       1460 {c |}{res}          2        0.33       81.97
{txt}       1461 {c |}{res}          5        0.82       82.79
{txt}       1463 {c |}{res}          2        0.33       83.11
{txt}       1466 {c |}{res}          1        0.16       83.28
{txt}       1468 {c |}{res}          1        0.16       83.44
{txt}       1472 {c |}{res}          2        0.33       83.77
{txt}       1473 {c |}{res}          2        0.33       84.10
{txt}       1474 {c |}{res}          2        0.33       84.43
{txt}       1479 {c |}{res}          1        0.16       84.59
{txt}       1480 {c |}{res}          1        0.16       84.75
{txt}       1483 {c |}{res}          1        0.16       84.92
{txt}       1485 {c |}{res}          1        0.16       85.08
{txt}       1486 {c |}{res}          1        0.16       85.25
{txt}       1487 {c |}{res}          1        0.16       85.41
{txt}       1494 {c |}{res}          1        0.16       85.57
{txt}       1500 {c |}{res}          2        0.33       85.90
{txt}       1513 {c |}{res}          1        0.16       86.07
{txt}       1514 {c |}{res}          1        0.16       86.23
{txt}       1533 {c |}{res}          1        0.16       86.39
{txt}       1547 {c |}{res}          1        0.16       86.56
{txt}       1549 {c |}{res}          1        0.16       86.72
{txt}       1556 {c |}{res}          2        0.33       87.05
{txt}       1557 {c |}{res}          1        0.16       87.21
{txt}       1560 {c |}{res}          1        0.16       87.38
{txt}       1572 {c |}{res}          1        0.16       87.54
{txt}       1593 {c |}{res}          1        0.16       87.70
{txt}       1601 {c |}{res}          1        0.16       87.87
{txt}       1614 {c |}{res}          2        0.33       88.20
{txt}       1622 {c |}{res}          1        0.16       88.36
{txt}       1624 {c |}{res}          1        0.16       88.52
{txt}       1625 {c |}{res}          1        0.16       88.69
{txt}       1632 {c |}{res}          2        0.33       89.02
{txt}       1636 {c |}{res}          1        0.16       89.18
{txt}       1646 {c |}{res}          1        0.16       89.34
{txt}       1655 {c |}{res}          1        0.16       89.51
{txt}       1692 {c |}{res}          1        0.16       89.67
{txt}       1701 {c |}{res}          1        0.16       89.84
{txt}       1718 {c |}{res}          1        0.16       90.00
{txt}       1746 {c |}{res}          1        0.16       90.16
{txt}       1768 {c |}{res}          1        0.16       90.33
{txt}       1801 {c |}{res}          1        0.16       90.49
{txt}       1819 {c |}{res}          1        0.16       90.66
{txt}       1825 {c |}{res}          2        0.33       90.98
{txt}       1827 {c |}{res}          1        0.16       91.15
{txt}       1848 {c |}{res}          1        0.16       91.31
{txt}       1857 {c |}{res}          1        0.16       91.48
{txt}       1873 {c |}{res}          1        0.16       91.64
{txt}       1874 {c |}{res}          2        0.33       91.97
{txt}       1885 {c |}{res}          1        0.16       92.13
{txt}       1897 {c |}{res}          1        0.16       92.30
{txt}       1929 {c |}{res}          1        0.16       92.46
{txt}       1942 {c |}{res}          1        0.16       92.62
{txt}       1974 {c |}{res}          1        0.16       92.79
{txt}       1989 {c |}{res}          1        0.16       92.95
{txt}       1995 {c |}{res}          1        0.16       93.11
{txt}       2078 {c |}{res}          1        0.16       93.28
{txt}       2115 {c |}{res}          1        0.16       93.44
{txt}       2157 {c |}{res}          1        0.16       93.61
{txt}       2180 {c |}{res}          1        0.16       93.77
{txt}       2185 {c |}{res}          1        0.16       93.93
{txt}       2192 {c |}{res}          1        0.16       94.10
{txt}       2230 {c |}{res}          1        0.16       94.26
{txt}       2250 {c |}{res}          1        0.16       94.43
{txt}       2255 {c |}{res}          1        0.16       94.59
{txt}       2304 {c |}{res}          1        0.16       94.75
{txt}       2318 {c |}{res}          1        0.16       94.92
{txt}       2340 {c |}{res}          1        0.16       95.08
{txt}       2353 {c |}{res}          1        0.16       95.25
{txt}       2357 {c |}{res}          1        0.16       95.41
{txt}       2374 {c |}{res}          1        0.16       95.57
{txt}       2379 {c |}{res}          1        0.16       95.74
{txt}       2454 {c |}{res}          1        0.16       95.90
{txt}       2497 {c |}{res}          1        0.16       96.07
{txt}       2517 {c |}{res}          1        0.16       96.23
{txt}       2523 {c |}{res}          2        0.33       96.56
{txt}       2557 {c |}{res}          1        0.16       96.72
{txt}       2627 {c |}{res}          1        0.16       96.89
{txt}       2651 {c |}{res}          1        0.16       97.05
{txt}       2762 {c |}{res}          1        0.16       97.21
{txt}       2782 {c |}{res}          1        0.16       97.38
{txt}       2794 {c |}{res}          2        0.33       97.70
{txt}       2810 {c |}{res}          1        0.16       97.87
{txt}       2846 {c |}{res}          1        0.16       98.03
{txt}       2871 {c |}{res}          1        0.16       98.20
{txt}       2907 {c |}{res}          1        0.16       98.36
{txt}       2911 {c |}{res}          1        0.16       98.52
{txt}       2919 {c |}{res}          1        0.16       98.69
{txt}       2920 {c |}{res}          3        0.49       99.18
{txt}       2921 {c |}{res}          1        0.16       99.34
{txt}       2992 {c |}{res}          1        0.16       99.51
{txt}       3118 {c |}{res}          1        0.16       99.67
{txt}       3229 {c |}{res}          1        0.16       99.84
{txt}       4074 {c |}{res}          1        0.16      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        610      100.00
{txt}
{com}. 
. *
. *
. *
. *
. 
. **** SHOW DIFFERENCES BETWEEN HIGH LOYALISTS WITH A MUTUAL POLICY COMMITTMENT [highloyalpp==1, n=236] AND HIGH LOYALISTS THAT DO NOT [highloyalpp==0, n=100]: where HIGH LOYALISTS ARE DEFINED AS "zloyalmedian>=0" [LIES BETWEEN MEDIAN = -0.1646416 & MEAN = 0.1284699: 61st Percentile] ***
. 
. sum zloyalmedian, detail

                        {txt}zloyalmedian
{hline 61}
      Percentiles      Smallest
 1%    {res}-1.706393      -1.844698
{txt} 5%    {res}-1.313641      -1.825194
{txt}10%    {res}-.6451644      -1.816328       {txt}Obs         {res}        860
{txt}25%    {res}-.3960373      -1.811008       {txt}Sum of Wgt. {res}        860

{txt}50%    {res}-.1646416                      {txt}Mean          {res} .1284699
                        {txt}Largest       Std. Dev.     {res} .9110985
{txt}75%    {res} .9692858       2.331063
{txt}90%    {res} 1.711348       2.409081       {txt}Variance      {res} .8301005
{txt}95%    {res} 1.925898       2.508377       {txt}Skewness      {res} .6447668
{txt}99%    {res} 2.185664       2.731794       {txt}Kurtosis      {res} 2.885473
{txt}
{com}. 
. 
. 
. *
. gen highloyalpp = 1 if zloyalmedian>=0 & soubinaryagency2nom==1
{txt}(637 missing values generated)

{com}. *
. replace highloyalpp = 0 if zloyalmedian>=0 & soubinaryagency2nom==0
{txt}(113 real changes made)

{com}. 
. 
. 
. *** NO SUBSTANTIVE DIFFERENCES INVOLVING PRESIDENTIAL LOYALTY BETWEEN THE TWO TYPES [HIGH LOYALTY-POLICY PRIORITY VERSUS HIGH LOYALTY-NON POLICY PRIORITY] ***
. 
. ttest zloyalmedian, by(highloyalpp) reverse unequal welch

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       1 {c |}{res}{col 12}    223{col 22} 1.027641{col 34} .0478456{col 46} .7144874{col 58} .9333509{col 70}  1.12193
       {txt}0 {c |}{res}{col 12}    113{col 22} 1.068331{col 34} .0675007{col 46} .7175419{col 58} .9345871{col 70} 1.202075
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    336{col 22} 1.041325{col 34} .0389903{col 46} .7147038{col 58} .9646285{col 70} 1.118022
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0406903{col 34} .0827378{col 58}-.2037264{col 70} .1223457
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}1{txt}) - mean({res}0{txt})                                      t = {res} -0.4918
{txt}Ho: diff = 0                             Welch's degrees of freedom = {res} 226.034

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3117         {txt}Pr(|T| > |t|) = {res}0.6233          {txt}Pr(T > t) = {res}0.6883
{txt}
{com}. 
. 
. 
. 
. *** HIGHER POLICY AND MANAGERIAL COMPETENCE FOR HIGH LOYALTY-POLICY PRIORITY TYPES COMPARED TO HIGH LOYALTY-NON POLICY PRIORITY TYPES ***
. 
. ttest zpecompmedian, by(highloyalpp) reverse unequal welch

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       1 {c |}{res}{col 12}    223{col 22}-.4557085{col 34} .0523849{col 46} .7822739{col 58}-.5589439{col 70}-.3524731
       {txt}0 {c |}{res}{col 12}    113{col 22}-.7160388{col 34} .0851167{col 46} .9048025{col 58}-.8846866{col 70}-.5473911
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    336{col 22}-.5432601{col 34} .0454609{col 46} .8333119{col 58}-.6326848{col 70}-.4538353
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .2603303{col 34} .0999451{col 58} .0632487{col 70} .4574119
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}1{txt}) - mean({res}0{txt})                                      t = {res}  2.6047
{txt}Ho: diff = 0                             Welch's degrees of freedom = {res}  199.97

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9951         {txt}Pr(|T| > |t|) = {res}0.0099          {txt}Pr(T > t) = {res}0.0049
{txt}
{com}. 
. 
. ttest zmecompmedian, by(highloyalpp) reverse unequal welch

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       1 {c |}{res}{col 12}    223{col 22}-.0785722{col 34} .0661729{col 46} .9881721{col 58}-.2089796{col 70} .0518352
       {txt}0 {c |}{res}{col 12}    113{col 22}-.2149718{col 34} .1002337{col 46} 1.065498{col 58}-.4135719{col 70}-.0163717
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    336{col 22}-.1244447{col 34}  .055389{col 46} 1.015296{col 58}-.2333987{col 70}-.0154907
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1363996{col 34} .1201068{col 58}-.1003549{col 70} .3731541
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}1{txt}) - mean({res}0{txt})                                      t = {res}  1.1357
{txt}Ho: diff = 0                             Welch's degrees of freedom = {res}  212.31

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8713         {txt}Pr(|T| > |t|) = {res}0.2574          {txt}Pr(T > t) = {res}0.1287
{txt}
{com}. 
. 
. 
. *** APPOINTEE TENURE IS NOT HIGHER FOR PRIORTY EXECUTIVE AGENCIES COMPARED TO NON-PRIORITY EXECUTIVE AGENCIES - ACTUALLY THE OPPOSITE IS TRUE IN AN UNCONDITIONAL SENSE ***
. 
. ttest okapptdur, by(soubinaryagency2nom) reverse unequal

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       1 {c |}{res}{col 12}    577{col 22} 939.1854{col 34} 22.60975{col 46} 543.1048{col 58} 894.7778{col 70}  983.593
       {txt}0 {c |}{res}{col 12}    283{col 22} 1088.777{col 34} 39.16076{col 46} 658.7859{col 58} 1011.693{col 70} 1165.862
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    860{col 22} 988.4116{col 34} 20.03514{col 46} 587.5456{col 58} 949.0881{col 70} 1027.735
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-149.5919{col 34} 45.21908{col 58}-238.4459{col 70}-60.73799
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}1{txt}) - mean({res}0{txt})                                      t = {res} -3.3082
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res} 475.473

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0005         {txt}Pr(|T| > |t|) = {res}0.0010          {txt}Pr(T > t) = {res}0.9995
{txt}
{com}. 
. 
. 
. *******************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. *** COMPUTE TITLE: FIGURE 1A: HISTOGRAM AND KERNEL DENSITY PLOT OF APPOINTEE TENURE (SUBTITLE: U.S. EXECUTIVE AGENCY LEADERSHIP POSITIONS) **** 
. 
. *
. kdensity okapptdur, lcolor(black) addplot((histogram okapptdur, fcolor(gs10)), below) legend(off) ylabel(0(0.0002)0.0008, angle(0) labsize(small)) xlabel(0(1000)4000, angle(0) labsize(small)) note("") ytitle("Density", size(small) margin(r=2.5)) xtitle("Total Appointee Duration (Days)", size(small) margin(t=2)) title("FIGURE 1A: Histogram & Kernel Density Plot of Administrative Leaders' Tenure Duration", size(small)) subtitle("(U.S. Federal Executive Agencies)", size(small))
{res}{txt}
{com}. *
. graph save "Graph" "C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Appointee Tenure Project\Jason Byers\March 2023\DART (PRQ)\Graphics\Figure1a.gph", replace
{txt}(note: file C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Appointee Tenure Project\Jason Byers\March 2023\DART (PRQ)\Graphics\Figure1a.gph not found)
{res}{txt}(file C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Appointee Tenure Project\Jason Byers\March 2023\DART (PRQ)\Graphics\Figure1a.gph saved)

{com}. 
. 
. 
. 
. *** COMPUTE TITLE: FIGURE 1B: KAPLAN-MEIER SURVIVOR ESTIMATES OF APPOINTEE TENURE (SUBTITLE: U.S. EXECUTIVE AGENCY LEADERSHIP POSITIONS) **** 
. 
. 
. **** JASON, PLEASE MAKE SURE THAT THE UNIVARIATE STATISTICS BELOW ARE BASED ON THE FULL SET OF 860 APPOINTEE OBSERRVATIONS ***
. 
. sts graph, ylabel(0(0.25)1, angle(0) labsize(small) nogrid) xline(907, lcolor(red%60) lpattern(dash)) xlabel(0(1000)4000, angle(0) labsize(small)) note("") ytitle("Survival", size(small) margin(r=2.5)) xtitle("Total Appointee Duration (Days)", size(small) margin(t=2)) title("FIGURE 1B: Kaplan-Meier Survivor Estimates of Administrative Leaders' Tenure Duration", size(small)) subtitle("(U.S. Federal Executive Agencies)", size(small))

         {txt}failure _d:  {res}singleadmin_service
   {txt}analysis time _t:  {res}okapptdur
{txt}
{com}. 
. graph save "Graph" "C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Appointee Tenure Project\Jason Byers\March 2023\DART (PRQ)\Graphics\Figure1b.gph", replace
{txt}(note: file C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Appointee Tenure Project\Jason Byers\March 2023\DART (PRQ)\Graphics\Figure1b.gph not found)
{res}{txt}(file C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Appointee Tenure Project\Jason Byers\March 2023\DART (PRQ)\Graphics\Figure1b.gph saved)

{com}. 
. 
. 
. 
. 
. 
. 
. *******************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. *** MANUSCRIPT SURVIVAL REGRESSION ANALYSES: COX SEMIPARAMETRIC & WEIBULL PARAMETRIC MODELS ****
. 
. 
. 
. 
. ******************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. **** MANUSCRIPT REGRESSION MODELS  ***
. 
. 
. 
. **** MODEL 1: COX MODEL [OMISSION OF BOTH AGENCY AND PRESIDENTIAL ADMINISTRATION FIXED EFFECTS: CLUSTER-ADJUSTED STANDARD ERRORS BY AGENCY] ****
. 
. stcox   c.zloyalmedian##i.soubinaryagency2nom  zpecompmedian  zmecompmedian   toplevel2   presagencyideolalign  presagencyideolopposed subagencydesign standaloneagencydesign  okstartsenpolarizationmean okstartfilipresdistance   okcrossover okstartpresapp  okstartunemployment  i.okstartadyr  ,  hr vce(cluster sbagency)

         {txt}failure _d:  {res}singleadmin_service
   {txt}analysis time _t:  {res}okapptdur

{txt}Iteration 0:   log pseudolikelihood = {res}-4793.4442
{txt}Iteration 1:   log pseudolikelihood = {res}-4532.1478
{txt}Iteration 2:   log pseudolikelihood = {res}-4514.3797
{txt}Iteration 3:   log pseudolikelihood = {res}-4514.1316
{txt}Iteration 4:   log pseudolikelihood = {res}-4514.1313
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-4514.1313

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}         860             {txt}Number of obs    =  {res}       860
{txt}No. of failures      = {res}         831
{txt}Time at risk         = {res}      850034
                                                {txt}Wald chi2({res}22{txt})    =  {res}   1206.17
{txt}Log pseudolikelihood =   {res}-4514.1313             {txt}Prob > chi2      =  {res}    0.0000

{txt}{ralign 100:(Std. Err. adjusted for {res:41} clusters in sbagency)}
{hline 35}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 36}{c |}{col 48}    Robust
{col 1}                                _t{col 36}{c |} Haz. Ratio{col 48}   Std. Err.{col 60}      z{col 68}   P>|z|{col 76}     [95% Con{col 89}f. Interval]
{hline 35}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}zloyalmedian {c |}{col 36}{res}{space 2} 1.393909{col 48}{space 2} .1378181{col 59}{space 1}    3.36{col 68}{space 3}0.001{col 76}{space 4} 1.148351{col 89}{space 3} 1.691976
{txt}{space 13}1.soubinaryagency2nom {c |}{col 36}{res}{space 2} 1.095514{col 48}{space 2} .1144903{col 59}{space 1}    0.87{col 68}{space 3}0.383{col 76}{space 4} .8926067{col 89}{space 3} 1.344545
{txt}{space 34} {c |}
soubinaryagency2nom#c.zloyalmedian {c |}
{space 32}1  {c |}{col 36}{res}{space 2} .6510021{col 48}{space 2} .0719551{col 59}{space 1}   -3.88{col 68}{space 3}0.000{col 76}{space 4} .5242028{col 89}{space 3} .8084729
{txt}{space 34} {c |}
{space 21}zpecompmedian {c |}{col 36}{res}{space 2} .9828284{col 48}{space 2} .0698214{col 59}{space 1}   -0.24{col 68}{space 3}0.807{col 76}{space 4} .8550809{col 89}{space 3} 1.129661
{txt}{space 21}zmecompmedian {c |}{col 36}{res}{space 2} 1.006248{col 48}{space 2} .0602756{col 59}{space 1}    0.10{col 68}{space 3}0.917{col 76}{space 4} .8947811{col 89}{space 3}   1.1316
{txt}{space 25}toplevel2 {c |}{col 36}{res}{space 2} .5821042{col 48}{space 2} .0463813{col 59}{space 1}   -6.79{col 68}{space 3}0.000{col 76}{space 4} .4979412{col 89}{space 3} .6804927
{txt}{space 14}presagencyideolalign {c |}{col 36}{res}{space 2} 1.450141{col 48}{space 2}  .133844{col 59}{space 1}    4.03{col 68}{space 3}0.000{col 76}{space 4} 1.210171{col 89}{space 3} 1.737696
{txt}{space 12}presagencyideolopposed {c |}{col 36}{res}{space 2} 1.359528{col 48}{space 2} .1357168{col 59}{space 1}    3.08{col 68}{space 3}0.002{col 76}{space 4} 1.117933{col 89}{space 3} 1.653333
{txt}{space 19}subagencydesign {c |}{col 36}{res}{space 2} 1.102629{col 48}{space 2}  .165081{col 59}{space 1}    0.65{col 68}{space 3}0.514{col 76}{space 4} .8222258{col 89}{space 3} 1.478658
{txt}{space 12}standaloneagencydesign {c |}{col 36}{res}{space 2} .8388457{col 48}{space 2}  .078796{col 59}{space 1}   -1.87{col 68}{space 3}0.061{col 76}{space 4} .6977911{col 89}{space 3} 1.008414
{txt}{space 8}okstartsenpolarizationmean {c |}{col 36}{res}{space 2} .0004638{col 48}{space 2} .0012303{col 59}{space 1}   -2.89{col 68}{space 3}0.004{col 76}{space 4} 2.56e-06{col 89}{space 3} .0840173
{txt}{space 11}okstartfilipresdistance {c |}{col 36}{res}{space 2} 1.771067{col 48}{space 2} .4011816{col 59}{space 1}    2.52{col 68}{space 3}0.012{col 76}{space 4} 1.136112{col 89}{space 3} 2.760889
{txt}{space 23}okcrossover {c |}{col 36}{res}{space 2} .1941634{col 48}{space 2} .0335188{col 59}{space 1}   -9.49{col 68}{space 3}0.000{col 76}{space 4} .1384277{col 89}{space 3} .2723402
{txt}{space 20}okstartpresapp {c |}{col 36}{res}{space 2} .9942994{col 48}{space 2} .0033834{col 59}{space 1}   -1.68{col 68}{space 3}0.093{col 76}{space 4} .9876901{col 89}{space 3} 1.000953
{txt}{space 15}okstartunemployment {c |}{col 36}{res}{space 2} .9336168{col 48}{space 2} .0438526{col 59}{space 1}   -1.46{col 68}{space 3}0.144{col 76}{space 4} .8515049{col 89}{space 3} 1.023647
{txt}{space 34} {c |}
{space 23}okstartadyr {c |}
{space 32}2  {c |}{col 36}{res}{space 2}  1.88615{col 48}{space 2} .3765503{col 59}{space 1}    3.18{col 68}{space 3}0.001{col 76}{space 4} 1.275389{col 89}{space 3} 2.789393
{txt}{space 32}3  {c |}{col 36}{res}{space 2} 5.348687{col 48}{space 2}  .729271{col 59}{space 1}   12.30{col 68}{space 3}0.000{col 76}{space 4} 4.094392{col 89}{space 3} 6.987228
{txt}{space 32}4  {c |}{col 36}{res}{space 2} 4.276433{col 48}{space 2} 1.396927{col 59}{space 1}    4.45{col 68}{space 3}0.000{col 76}{space 4} 2.254398{col 89}{space 3} 8.112088
{txt}{space 32}5  {c |}{col 36}{res}{space 2} 1.356514{col 48}{space 2} .1686438{col 59}{space 1}    2.45{col 68}{space 3}0.014{col 76}{space 4} 1.063168{col 89}{space 3}   1.7308
{txt}{space 32}6  {c |}{col 36}{res}{space 2}  2.79368{col 48}{space 2} .3678542{col 59}{space 1}    7.80{col 68}{space 3}0.000{col 76}{space 4} 2.158221{col 89}{space 3} 3.616242
{txt}{space 32}7  {c |}{col 36}{res}{space 2}  5.07612{col 48}{space 2} 1.287385{col 59}{space 1}    6.41{col 68}{space 3}0.000{col 76}{space 4} 3.087831{col 89}{space 3}  8.34469
{txt}{space 32}8  {c |}{col 36}{res}{space 2} 7.436164{col 48}{space 2} 2.284263{col 59}{space 1}    6.53{col 68}{space 3}0.000{col 76}{space 4} 4.072624{col 89}{space 3} 13.57762
{txt}{hline 35}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}       860{col 28}-4793.444{col 39}-4514.131{col 50}    22{col 58} 9072.263{col 69} 9176.915
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] BIC note}}.{p_end}

{com}. *
. * Assess the Total Effect of Appointee Loyalty on Appointee Tenure in Priority Agencies: Priority Agency as Conditioning Covariate * 
. lincom  zloyalmedian + 1.soubinaryagency2nom#c.zloyalmedian, hr

{p 0 7}{space 1}{text:( 1)}{space 1} {res}zloyalmedian + 1.soubinaryagency2nom#c.zloyalmedian = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .9074376{col 26}{space 2} .0686119{col 37}{space 1}   -1.28{col 46}{space 3}0.199{col 54}{space 4} .7824505{col 67}{space 3}  1.05239
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. * Assess the Total Effect of Appointee Loyalty on Appointee Tenure in Priority Agencies: Appointee Loyalty as Conditioning Covariate * 
. lincom  1.soubinaryagency2nom + 1.soubinaryagency2nom#c.zloyalmedian, hr

{p 0 7}{space 1}{text:( 1)}{space 1} {res}1.soubinaryagency2nom + 1.soubinaryagency2nom#c.zloyalmedian = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .7131818{col 26}{space 2} .0954872{col 37}{space 1}   -2.52{col 46}{space 3}0.012{col 54}{space 4} .5485721{col 67}{space 3} .9271858
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. *
. *
. estimates store model1
{txt}
{com}. estout model1, cells(b(star fmt(3)) se(par fmt(3))) eform
{res}
{txt}{hline 28}
{txt}                   model1   
{txt}                     b/se   
{txt}{hline 28}
{txt}zloyalmedian{res}        1.394***{txt}
            {res}      (0.138)   {txt}
{txt}0.soubinar~m{res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}1.soubinar~m{res}        1.096   {txt}
            {res}      (0.114)   {txt}
{txt}0.soubinar~i{res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}1.soubinar~i{res}        0.651***{txt}
            {res}      (0.072)   {txt}
{txt}zpecompmed~n{res}        0.983   {txt}
            {res}      (0.070)   {txt}
{txt}zmecompmed~n{res}        1.006   {txt}
            {res}      (0.060)   {txt}
{txt}toplevel2   {res}        0.582***{txt}
            {res}      (0.046)   {txt}
{txt}presagency~n{res}        1.450***{txt}
            {res}      (0.134)   {txt}
{txt}presagency~d{res}        1.360** {txt}
            {res}      (0.136)   {txt}
{txt}subagencyd~n{res}        1.103   {txt}
            {res}      (0.165)   {txt}
{txt}standalone~n{res}        0.839   {txt}
            {res}      (0.079)   {txt}
{txt}okstartsen~n{res}        0.000** {txt}
            {res}      (0.001)   {txt}
{txt}okstartfil~e{res}        1.771*  {txt}
            {res}      (0.401)   {txt}
{txt}okcrossover {res}        0.194***{txt}
            {res}      (0.034)   {txt}
{txt}okstartpre~p{res}        0.994   {txt}
            {res}      (0.003)   {txt}
{txt}okstartune~t{res}        0.934   {txt}
            {res}      (0.044)   {txt}
{txt}1.okstarta~r{res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}2.okstarta~r{res}        1.886** {txt}
            {res}      (0.377)   {txt}
{txt}3.okstarta~r{res}        5.349***{txt}
            {res}      (0.729)   {txt}
{txt}4.okstarta~r{res}        4.276***{txt}
            {res}      (1.397)   {txt}
{txt}5.okstarta~r{res}        1.357*  {txt}
            {res}      (0.169)   {txt}
{txt}6.okstarta~r{res}        2.794***{txt}
            {res}      (0.368)   {txt}
{txt}7.okstarta~r{res}        5.076***{txt}
            {res}      (1.287)   {txt}
{txt}8.okstarta~r{res}        7.436***{txt}
            {res}      (2.284)   {txt}
{txt}{hline 28}

{com}. 
. 
. *** COMPUTE Figure 2: Interquartile Increase Marginal Effect Change of Appointee Loyalty on the HAZARD RATIO of APPOINTEE TENURE {c -(}PP − NPP Difference{c )-} {c -(}{c -(}4 [M1−M4] × 1 Horizontal Point Estimates and 95% CIs{c )-}{c )-}. ****
. ** NOTE: IQR = 1.3653231 [0.9692858 - (-0.3960373)]
. 
. 
. 
. ** ONE INTERQUARTILE RANGE MARGINAL EFFECT INCREASE IN APPOINTEE LOYALTY DIFFERENTIAL BETWEEN POLICY PRIORITY AGENCY VERSUS NON-POLICY PRIORITY AGENCY [FIGURE 2] **
. 
. lincomest 1.soubinaryagency2nom#c.zloyalmedian*1.3653231, eform(hr)
{txt}Confidence interval for formula:
{res}1.soubinaryagency2nom#c.zloyalmedian*1.3653231

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .5565187{col 26}{space 2} .0839836{col 37}{space 1}   -3.88{col 46}{space 3}0.000{col 54}{space 4} .4140244{col 67}{space 3}  .748055
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix model1zloyal = r(table)
{txt}
{com}. mat list model1zloyal
{res}
{txt}model1zloyal[9,1]
               (1)
     b {res}  .55651871
{txt}    se {res}  .08398356
{txt}     z {res} -3.8835016
{txt}pvalue {res}  .00010296
{txt}    ll {res}  .41402444
{txt}    ul {res}  .74805504
{txt}    df {res}          .
{txt}  crit {res}   1.959964
{txt} eform {res}          1
{reset}
{com}. *
. 
. 
. 
. 
. 
. 
. 
. ******************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. **** MODEL 2: COX MODEL [INCLUSION OF BOTH AGENCY AND PRESIDENTIAL ADMINISTRATION FIXED EFFECTS: CLUSTER-ADJUSTED STANDARD ERRORS BY AGENCY] ****
. 
. stcox   c.zloyalmedian##i.soubinaryagency2nom  zpecompmedian  zmecompmedian   toplevel2   presagencyideolalign  presagencyideolopposed subagencydesign standaloneagencydesign  okstartsenpolarizationmean okstartfilipresdistance   okcrossover okstartpresapp  okstartunemployment  i.okstartadyr  i.sbagency reagan bush41 clinton bush43,  hr vce(cluster sbagency)

         {txt}failure _d:  {res}singleadmin_service
   {txt}analysis time _t:  {res}okapptdur

{txt}note: 27.sbagency omitted because of collinearity
note: 57.sbagency omitted because of collinearity
note: 61.sbagency omitted because of collinearity
Iteration 0:   log pseudolikelihood = {res}-4793.4442
{txt}Iteration 1:   log pseudolikelihood = {res}-4497.4067
{txt}Iteration 2:   log pseudolikelihood = {res}-4471.0956
{txt}Iteration 3:   log pseudolikelihood = {res}-4470.7443
{txt}Iteration 4:   log pseudolikelihood = {res}-4470.7439
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-4470.7439

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}         860             {txt}Number of obs    =  {res}       860
{txt}No. of failures      = {res}         831
{txt}Time at risk         = {res}      850034
                                                {txt}Wald chi2({res}40{txt})    =  {res}  93737.48
{txt}Log pseudolikelihood =   {res}-4470.7439             {txt}Prob > chi2      =  {res}    0.0000

{txt}{ralign 100:(Std. Err. adjusted for {res:41} clusters in sbagency)}
{hline 35}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 36}{c |}{col 48}    Robust
{col 1}                                _t{col 36}{c |} Haz. Ratio{col 48}   Std. Err.{col 60}      z{col 68}   P>|z|{col 76}     [95% Con{col 89}f. Interval]
{hline 35}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}zloyalmedian {c |}{col 36}{res}{space 2} 1.385689{col 48}{space 2} .1605757{col 59}{space 1}    2.81{col 68}{space 3}0.005{col 76}{space 4} 1.104148{col 89}{space 3} 1.739019
{txt}{space 13}1.soubinaryagency2nom {c |}{col 36}{res}{space 2} 1.152291{col 48}{space 2} .1989596{col 59}{space 1}    0.82{col 68}{space 3}0.412{col 76}{space 4} .8214672{col 89}{space 3} 1.616346
{txt}{space 34} {c |}
soubinaryagency2nom#c.zloyalmedian {c |}
{space 32}1  {c |}{col 36}{res}{space 2} .6214336{col 48}{space 2} .0871684{col 59}{space 1}   -3.39{col 68}{space 3}0.001{col 76}{space 4} .4720596{col 89}{space 3}  .818074
{txt}{space 34} {c |}
{space 21}zpecompmedian {c |}{col 36}{res}{space 2} 1.033714{col 48}{space 2} .0821645{col 59}{space 1}    0.42{col 68}{space 3}0.677{col 76}{space 4} .8845916{col 89}{space 3} 1.207975
{txt}{space 21}zmecompmedian {c |}{col 36}{res}{space 2} .9793862{col 48}{space 2} .0669574{col 59}{space 1}   -0.30{col 68}{space 3}0.761{col 76}{space 4} .8565646{col 89}{space 3} 1.119819
{txt}{space 25}toplevel2 {c |}{col 36}{res}{space 2} .5103239{col 48}{space 2} .0549484{col 59}{space 1}   -6.25{col 68}{space 3}0.000{col 76}{space 4} .4132321{col 89}{space 3} .6302282
{txt}{space 14}presagencyideolalign {c |}{col 36}{res}{space 2} .6508912{col 48}{space 2} .1725959{col 59}{space 1}   -1.62{col 68}{space 3}0.105{col 76}{space 4} .3870762{col 89}{space 3} 1.094512
{txt}{space 12}presagencyideolopposed {c |}{col 36}{res}{space 2} .6205378{col 48}{space 2} .1670667{col 59}{space 1}   -1.77{col 68}{space 3}0.076{col 76}{space 4} .3661004{col 89}{space 3} 1.051808
{txt}{space 19}subagencydesign {c |}{col 36}{res}{space 2} 1.768227{col 48}{space 2} .3203508{col 59}{space 1}    3.15{col 68}{space 3}0.002{col 76}{space 4} 1.239725{col 89}{space 3} 2.522033
{txt}{space 12}standaloneagencydesign {c |}{col 36}{res}{space 2} 2.061222{col 48}{space 2} .6000132{col 59}{space 1}    2.48{col 68}{space 3}0.013{col 76}{space 4} 1.165047{col 89}{space 3} 3.646751
{txt}{space 8}okstartsenpolarizationmean {c |}{col 36}{res}{space 2} 1.66e-11{col 48}{space 2} 1.76e-10{col 59}{space 1}   -2.34{col 68}{space 3}0.019{col 76}{space 4} 1.54e-20{col 89}{space 3} .0178679
{txt}{space 11}okstartfilipresdistance {c |}{col 36}{res}{space 2} 1155.527{col 48}{space 2} 2625.988{col 59}{space 1}    3.10{col 68}{space 3}0.002{col 76}{space 4} 13.43959{col 89}{space 3} 99351.49
{txt}{space 23}okcrossover {c |}{col 36}{res}{space 2} .1648507{col 48}{space 2} .0356675{col 59}{space 1}   -8.33{col 68}{space 3}0.000{col 76}{space 4} .1078755{col 89}{space 3} .2519177
{txt}{space 20}okstartpresapp {c |}{col 36}{res}{space 2} .9897732{col 48}{space 2} .0046195{col 59}{space 1}   -2.20{col 68}{space 3}0.028{col 76}{space 4} .9807605{col 89}{space 3} .9988688
{txt}{space 15}okstartunemployment {c |}{col 36}{res}{space 2} 1.139291{col 48}{space 2} .0988381{col 59}{space 1}    1.50{col 68}{space 3}0.133{col 76}{space 4} .9611459{col 89}{space 3} 1.350454
{txt}{space 34} {c |}
{space 23}okstartadyr {c |}
{space 32}2  {c |}{col 36}{res}{space 2} 1.620165{col 48}{space 2} .3677176{col 59}{space 1}    2.13{col 68}{space 3}0.034{col 76}{space 4} 1.038407{col 89}{space 3} 2.527845
{txt}{space 32}3  {c |}{col 36}{res}{space 2} 3.954025{col 48}{space 2} .8766031{col 59}{space 1}    6.20{col 68}{space 3}0.000{col 76}{space 4} 2.560524{col 89}{space 3} 6.105902
{txt}{space 32}4  {c |}{col 36}{res}{space 2} 3.535386{col 48}{space 2}  1.19626{col 59}{space 1}    3.73{col 68}{space 3}0.000{col 76}{space 4} 1.821452{col 89}{space 3} 6.862082
{txt}{space 32}5  {c |}{col 36}{res}{space 2} 1.638361{col 48}{space 2} .4030985{col 59}{space 1}    2.01{col 68}{space 3}0.045{col 76}{space 4} 1.011537{col 89}{space 3}  2.65361
{txt}{space 32}6  {c |}{col 36}{res}{space 2} 3.699317{col 48}{space 2} .9103052{col 59}{space 1}    5.32{col 68}{space 3}0.000{col 76}{space 4} 2.283826{col 89}{space 3} 5.992113
{txt}{space 32}7  {c |}{col 36}{res}{space 2}  5.65147{col 48}{space 2} 1.733666{col 59}{space 1}    5.65{col 68}{space 3}0.000{col 76}{space 4} 3.097731{col 89}{space 3} 10.31049
{txt}{space 32}8  {c |}{col 36}{res}{space 2} 9.027404{col 48}{space 2} 3.467645{col 59}{space 1}    5.73{col 68}{space 3}0.000{col 76}{space 4} 4.252025{col 89}{space 3} 19.16594
{txt}{space 34} {c |}
{space 26}sbagency {c |}
{space 32}2  {c |}{col 36}{res}{space 2} 3.268191{col 48}{space 2} .9402642{col 59}{space 1}    4.12{col 68}{space 3}0.000{col 76}{space 4} 1.859582{col 89}{space 3} 5.743804
{txt}{space 32}3  {c |}{col 36}{res}{space 2} 2.070785{col 48}{space 2} .5439464{col 59}{space 1}    2.77{col 68}{space 3}0.006{col 76}{space 4} 1.237498{col 89}{space 3} 3.465179
{txt}{space 32}4  {c |}{col 36}{res}{space 2} 1.353112{col 48}{space 2}  .322891{col 59}{space 1}    1.27{col 68}{space 3}0.205{col 76}{space 4} .8476432{col 89}{space 3} 2.160005
{txt}{space 32}5  {c |}{col 36}{res}{space 2} 1.157977{col 48}{space 2} .3230165{col 59}{space 1}    0.53{col 68}{space 3}0.599{col 76}{space 4} .6702827{col 89}{space 3} 2.000514
{txt}{space 32}6  {c |}{col 36}{res}{space 2} 2.909858{col 48}{space 2} .7065463{col 59}{space 1}    4.40{col 68}{space 3}0.000{col 76}{space 4} 1.807967{col 89}{space 3} 4.683313
{txt}{space 32}7  {c |}{col 36}{res}{space 2} 1.994085{col 48}{space 2} .5981195{col 59}{space 1}    2.30{col 68}{space 3}0.021{col 76}{space 4} 1.107716{col 89}{space 3} 3.589706
{txt}{space 32}8  {c |}{col 36}{res}{space 2} 2.711405{col 48}{space 2} .7702176{col 59}{space 1}    3.51{col 68}{space 3}0.000{col 76}{space 4} 1.553807{col 89}{space 3} 4.731422
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{txt}{space 31}11  {c |}{col 36}{res}{space 2} 4.394187{col 48}{space 2} 1.419151{col 59}{space 1}    4.58{col 68}{space 3}0.000{col 76}{space 4} 2.333316{col 89}{space 3} 8.275293
{txt}{space 31}12  {c |}{col 36}{res}{space 2} 1.853924{col 48}{space 2}  .336007{col 59}{space 1}    3.41{col 68}{space 3}0.001{col 76}{space 4} 1.299629{col 89}{space 3} 2.644628
{txt}{space 31}13  {c |}{col 36}{res}{space 2} 1.752547{col 48}{space 2} .4423016{col 59}{space 1}    2.22{col 68}{space 3}0.026{col 76}{space 4} 1.068677{col 89}{space 3} 2.874041
{txt}{space 31}14  {c |}{col 36}{res}{space 2} 2.860757{col 48}{space 2} .8250644{col 59}{space 1}    3.64{col 68}{space 3}0.000{col 76}{space 4} 1.625504{col 89}{space 3} 5.034706
{txt}{space 31}15  {c |}{col 36}{res}{space 2} 1.779291{col 48}{space 2} .4856656{col 59}{space 1}    2.11{col 68}{space 3}0.035{col 76}{space 4} 1.042096{col 89}{space 3}  3.03799
{txt}{space 31}16  {c |}{col 36}{res}{space 2} .8685938{col 48}{space 2} .1319371{col 59}{space 1}   -0.93{col 68}{space 3}0.354{col 76}{space 4} .6449431{col 89}{space 3} 1.169801
{txt}{space 31}17  {c |}{col 36}{res}{space 2} 1.631593{col 48}{space 2} .1207942{col 59}{space 1}    6.61{col 68}{space 3}0.000{col 76}{space 4} 1.411216{col 89}{space 3} 1.886384
{txt}{space 31}18  {c |}{col 36}{res}{space 2} 2.208613{col 48}{space 2} .6426988{col 59}{space 1}    2.72{col 68}{space 3}0.006{col 76}{space 4} 1.248599{col 89}{space 3} 3.906756
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{txt}{space 31}21  {c |}{col 36}{res}{space 2} .8452074{col 48}{space 2} .0715444{col 59}{space 1}   -1.99{col 68}{space 3}0.047{col 76}{space 4} .7159974{col 89}{space 3} .9977347
{txt}{space 31}22  {c |}{col 36}{res}{space 2} .4743225{col 48}{space 2} .1708597{col 59}{space 1}   -2.07{col 68}{space 3}0.038{col 76}{space 4}  .234129{col 89}{space 3} .9609311
{txt}{space 31}23  {c |}{col 36}{res}{space 2} 1.028681{col 48}{space 2} .2622634{col 59}{space 1}    0.11{col 68}{space 3}0.912{col 76}{space 4} .6241169{col 89}{space 3} 1.695491
{txt}{space 31}24  {c |}{col 36}{res}{space 2} .3016769{col 48}{space 2} .1438047{col 59}{space 1}   -2.51{col 68}{space 3}0.012{col 76}{space 4} .1185188{col 89}{space 3} .7678859
{txt}{space 31}25  {c |}{col 36}{res}{space 2} 1.429821{col 48}{space 2} .1932887{col 59}{space 1}    2.64{col 68}{space 3}0.008{col 76}{space 4} 1.097016{col 89}{space 3}  1.86359
{txt}{space 31}26  {c |}{col 36}{res}{space 2} .7985169{col 48}{space 2} .1130966{col 59}{space 1}   -1.59{col 68}{space 3}0.112{col 76}{space 4} .6049586{col 89}{space 3} 1.054005
{txt}{space 31}27  {c |}{col 36}{res}{space 2}        1{col 48}{txt}  (omitted)
{space 31}28  {c |}{col 36}{res}{space 2} 1.566368{col 48}{space 2} .1479302{col 59}{space 1}    4.75{col 68}{space 3}0.000{col 76}{space 4} 1.301682{col 89}{space 3} 1.884875
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{txt}{space 31}51  {c |}{col 36}{res}{space 2} 3.473497{col 48}{space 2} .9447425{col 59}{space 1}    4.58{col 68}{space 3}0.000{col 76}{space 4} 2.038224{col 89}{space 3} 5.919456
{txt}{space 31}52  {c |}{col 36}{res}{space 2} 1.565314{col 48}{space 2} .5211938{col 59}{space 1}    1.35{col 68}{space 3}0.178{col 76}{space 4} .8150452{col 89}{space 3} 3.006223
{txt}{space 31}53  {c |}{col 36}{res}{space 2} 1.513868{col 48}{space 2} .1622943{col 59}{space 1}    3.87{col 68}{space 3}0.000{col 76}{space 4} 1.226973{col 89}{space 3} 1.867846
{txt}{space 31}54  {c |}{col 36}{res}{space 2} 1.780839{col 48}{space 2} .3605465{col 59}{space 1}    2.85{col 68}{space 3}0.004{col 76}{space 4} 1.197544{col 89}{space 3} 2.648243
{txt}{space 31}55  {c |}{col 36}{res}{space 2} 1.279158{col 48}{space 2} .4553753{col 59}{space 1}    0.69{col 68}{space 3}0.489{col 76}{space 4} .6366486{col 89}{space 3} 2.570092
{txt}{space 31}56  {c |}{col 36}{res}{space 2}   1.0262{col 48}{space 2} .3879511{col 59}{space 1}    0.07{col 68}{space 3}0.945{col 76}{space 4} .4891462{col 89}{space 3} 2.152909
{txt}{space 31}57  {c |}{col 36}{res}{space 2}        1{col 48}{txt}  (omitted)
{space 31}58  {c |}{col 36}{res}{space 2} 1.418405{col 48}{space 2} .4602064{col 59}{space 1}    1.08{col 68}{space 3}0.281{col 76}{space 4} .7509737{col 89}{space 3} 2.679017
{txt}{space 31}59  {c |}{col 36}{res}{space 2} .3575611{col 48}{space 2} .1310554{col 59}{space 1}   -2.81{col 68}{space 3}0.005{col 76}{space 4} .1743262{col 89}{space 3} .7333945
{txt}{space 31}60  {c |}{col 36}{res}{space 2} 1.117945{col 48}{space 2} .1726301{col 59}{space 1}    0.72{col 68}{space 3}0.470{col 76}{space 4} .8259998{col 89}{space 3} 1.513076
{txt}{space 31}61  {c |}{col 36}{res}{space 2}        1{col 48}{txt}  (omitted)
{space 34} {c |}
{space 28}reagan {c |}{col 36}{res}{space 2} .0558675{col 48}{space 2} .0531481{col 59}{space 1}   -3.03{col 68}{space 3}0.002{col 76}{space 4} .0086575{col 89}{space 3} .3605182
{txt}{space 28}bush41 {c |}{col 36}{res}{space 2} .1506936{col 48}{space 2} .0925721{col 59}{space 1}   -3.08{col 68}{space 3}0.002{col 76}{space 4}  .045206{col 89}{space 3} .5023352
{txt}{space 27}clinton {c |}{col 36}{res}{space 2} .6407045{col 48}{space 2} .3377118{col 59}{space 1}   -0.84{col 68}{space 3}0.398{col 76}{space 4} .2280311{col 89}{space 3} 1.800203
{txt}{space 28}bush43 {c |}{col 36}{res}{space 2} .2117962{col 48}{space 2}  .155203{col 59}{space 1}   -2.12{col 68}{space 3}0.034{col 76}{space 4} .0503689{col 89}{space 3} .8905816
{txt}{hline 35}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}       860{col 28}-4793.444{col 39}-4470.744{col 50}    40{col 58} 9021.488{col 69} 9211.765
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] BIC note}}.{p_end}

{com}. *
. * Assess the Total Effect of Appointee Loyalty on Appointee Tenure in Priority Agencies: Priority Agency as Conditioning Covariate * 
. lincom  zloyalmedian + 1.soubinaryagency2nom#c.zloyalmedian, hr

{p 0 7}{space 1}{text:( 1)}{space 1} {res}zloyalmedian + 1.soubinaryagency2nom#c.zloyalmedian = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .8611138{col 26}{space 2}   .07418{col 37}{space 1}   -1.74{col 46}{space 3}0.083{col 54}{space 4} .7273349{col 67}{space 3} 1.019499
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. * Assess the Total Effect of Appointee Loyalty on Appointee Tenure in Priority Agencies: Appointee Loyalty as Conditioning Covariate * 
. lincom  1.soubinaryagency2nom + 1.soubinaryagency2nom#c.zloyalmedian, hr

{p 0 7}{space 1}{text:( 1)}{space 1} {res}1.soubinaryagency2nom + 1.soubinaryagency2nom#c.zloyalmedian = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .7160726{col 26}{space 2} .1346918{col 37}{space 1}   -1.78{col 46}{space 3}0.076{col 54}{space 4} .4952766{col 67}{space 3}   1.0353
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. *
. *
. estimates store model2
{txt}
{com}. estout model2, cells(b(star fmt(3)) se(par fmt(3))) eform
{res}
{txt}{hline 28}
{txt}                   model2   
{txt}                     b/se   
{txt}{hline 28}
{txt}zloyalmedian{res}        1.386** {txt}
            {res}      (0.161)   {txt}
{txt}0.soubinar~m{res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}1.soubinar~m{res}        1.152   {txt}
            {res}      (0.199)   {txt}
{txt}0.soubinar~i{res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}1.soubinar~i{res}        0.621***{txt}
            {res}      (0.087)   {txt}
{txt}zpecompmed~n{res}        1.034   {txt}
            {res}      (0.082)   {txt}
{txt}zmecompmed~n{res}        0.979   {txt}
            {res}      (0.067)   {txt}
{txt}toplevel2   {res}        0.510***{txt}
            {res}      (0.055)   {txt}
{txt}presagency~n{res}        0.651   {txt}
            {res}      (0.173)   {txt}
{txt}presagency~d{res}        0.621   {txt}
            {res}      (0.167)   {txt}
{txt}subagencyd~n{res}        1.768** {txt}
            {res}      (0.320)   {txt}
{txt}standalone~n{res}        2.061*  {txt}
            {res}      (0.600)   {txt}
{txt}okstartsen~n{res}        0.000*  {txt}
            {res}      (0.000)   {txt}
{txt}okstartfil~e{res}     1155.527** {txt}
            {res}   (2625.988)   {txt}
{txt}okcrossover {res}        0.165***{txt}
            {res}      (0.036)   {txt}
{txt}okstartpre~p{res}        0.990*  {txt}
            {res}      (0.005)   {txt}
{txt}okstartune~t{res}        1.139   {txt}
            {res}      (0.099)   {txt}
{txt}1.okstarta~r{res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}2.okstarta~r{res}        1.620*  {txt}
            {res}      (0.368)   {txt}
{txt}3.okstarta~r{res}        3.954***{txt}
            {res}      (0.877)   {txt}
{txt}4.okstarta~r{res}        3.535***{txt}
            {res}      (1.196)   {txt}
{txt}5.okstarta~r{res}        1.638*  {txt}
            {res}      (0.403)   {txt}
{txt}6.okstarta~r{res}        3.699***{txt}
            {res}      (0.910)   {txt}
{txt}7.okstarta~r{res}        5.651***{txt}
            {res}      (1.734)   {txt}
{txt}8.okstarta~r{res}        9.027***{txt}
            {res}      (3.468)   {txt}
{txt}1.sbagency  {res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}2.sbagency  {res}        3.268***{txt}
            {res}      (0.940)   {txt}
{txt}3.sbagency  {res}        2.071** {txt}
            {res}      (0.544)   {txt}
{txt}4.sbagency  {res}        1.353   {txt}
            {res}      (0.323)   {txt}
{txt}5.sbagency  {res}        1.158   {txt}
            {res}      (0.323)   {txt}
{txt}6.sbagency  {res}        2.910***{txt}
            {res}      (0.707)   {txt}
{txt}7.sbagency  {res}        1.994*  {txt}
            {res}      (0.598)   {txt}
{txt}8.sbagency  {res}        2.711***{txt}
            {res}      (0.770)   {txt}
{txt}9.sbagency  {res}        2.476***{txt}
            {res}      (0.671)   {txt}
{txt}11.sbagency {res}        4.394***{txt}
            {res}      (1.419)   {txt}
{txt}12.sbagency {res}        1.854***{txt}
            {res}      (0.336)   {txt}
{txt}13.sbagency {res}        1.753*  {txt}
            {res}      (0.442)   {txt}
{txt}14.sbagency {res}        2.861***{txt}
            {res}      (0.825)   {txt}
{txt}15.sbagency {res}        1.779*  {txt}
            {res}      (0.486)   {txt}
{txt}16.sbagency {res}        0.869   {txt}
            {res}      (0.132)   {txt}
{txt}17.sbagency {res}        1.632***{txt}
            {res}      (0.121)   {txt}
{txt}18.sbagency {res}        2.209** {txt}
            {res}      (0.643)   {txt}
{txt}19.sbagency {res}        0.815   {txt}
            {res}      (0.128)   {txt}
{txt}20.sbagency {res}        0.252***{txt}
            {res}      (0.081)   {txt}
{txt}21.sbagency {res}        0.845*  {txt}
            {res}      (0.072)   {txt}
{txt}22.sbagency {res}        0.474*  {txt}
            {res}      (0.171)   {txt}
{txt}23.sbagency {res}        1.029   {txt}
            {res}      (0.262)   {txt}
{txt}24.sbagency {res}        0.302*  {txt}
            {res}      (0.144)   {txt}
{txt}25.sbagency {res}        1.430** {txt}
            {res}      (0.193)   {txt}
{txt}26.sbagency {res}        0.799   {txt}
            {res}      (0.113)   {txt}
{txt}27.sbagency {res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}28.sbagency {res}        1.566***{txt}
            {res}      (0.148)   {txt}
{txt}29.sbagency {res}        3.948***{txt}
            {res}      (1.374)   {txt}
{txt}30.sbagency {res}        1.608   {txt}
            {res}      (0.479)   {txt}
{txt}50.sbagency {res}        2.151***{txt}
            {res}      (0.444)   {txt}
{txt}51.sbagency {res}        3.473***{txt}
            {res}      (0.945)   {txt}
{txt}52.sbagency {res}        1.565   {txt}
            {res}      (0.521)   {txt}
{txt}53.sbagency {res}        1.514***{txt}
            {res}      (0.162)   {txt}
{txt}54.sbagency {res}        1.781** {txt}
            {res}      (0.361)   {txt}
{txt}55.sbagency {res}        1.279   {txt}
            {res}      (0.455)   {txt}
{txt}56.sbagency {res}        1.026   {txt}
            {res}      (0.388)   {txt}
{txt}57.sbagency {res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}58.sbagency {res}        1.418   {txt}
            {res}      (0.460)   {txt}
{txt}59.sbagency {res}        0.358** {txt}
            {res}      (0.131)   {txt}
{txt}60.sbagency {res}        1.118   {txt}
            {res}      (0.173)   {txt}
{txt}61.sbagency {res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}reagan      {res}        0.056** {txt}
            {res}      (0.053)   {txt}
{txt}bush41      {res}        0.151** {txt}
            {res}      (0.093)   {txt}
{txt}clinton     {res}        0.641   {txt}
            {res}      (0.338)   {txt}
{txt}bush43      {res}        0.212*  {txt}
            {res}      (0.155)   {txt}
{txt}{hline 28}

{com}. 
. 
. *** COMPUTE Figure 2: Interquartile Increase Marginal Effect Change of Appointee Loyalty on the HAZARD RATIO of APPOINTEE TENURE {c -(}PP − NPP Difference{c )-} {c -(}{c -(}4 [M1−M4] × 1 Horizontal Point Estimates and 95% CIs{c )-}{c )-}. ****
. ** NOTE: IQR = 1.3653231 [0.9692858 - (-0.3960373)]
. 
. lincomest 1.soubinaryagency2nom#c.zloyalmedian*1.3653231, eform(hr)
{txt}Confidence interval for formula:
{res}1.soubinaryagency2nom#c.zloyalmedian*1.3653231

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .5222964{col 26}{space 2} .1000269{col 37}{space 1}   -3.39{col 46}{space 3}0.001{col 54}{space 4} .3588396{col 67}{space 3} .7602102
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix model2zloyal = r(table)
{txt}
{com}. mat list model2zloyal
{res}
{txt}model2zloyal[9,1]
               (1)
     b {res}  .52229641
{txt}    se {res}  .10002687
{txt}     z {res} -3.3915086
{txt}pvalue {res}  .00069509
{txt}    ll {res}  .35883961
{txt}    ul {res}  .76021023
{txt}    df {res}          .
{txt}  crit {res}   1.959964
{txt} eform {res}          1
{reset}
{com}. 
. 
. 
. 
. 
. *******************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. **** MODEL 3: WEIBULL MODEL [OMISSION OF BOTH AGENCY AND PRESIDENTIAL ADMINISTRATION FIXED EFFECTS: CLUSTER-ADJUSTED STANDARD ERRORS BY AGENCY] ****
. 
. streg   c.zloyalmedian##i.soubinaryagency2nom  zpecompmedian  zmecompmedian   toplevel2   presagencyideolalign  presagencyideolopposed subagencydesign standaloneagencydesign  okstartsenpolarizationmean okstartfilipresdistance   okcrossover okstartpresapp okstartunemployment  i.okstartadyr,   distribution(weibull)  hr vce(cluster sbagency)

         {txt}failure _d:  {res}singleadmin_service
   {txt}analysis time _t:  {res}okapptdur

{txt}Fitting constant-only model:

Iteration 0:   log pseudolikelihood = {res}-1012.6928
{txt}Iteration 1:   log pseudolikelihood = {res}-835.21164
{txt}Iteration 2:   log pseudolikelihood = {res}-830.85586
{txt}Iteration 3:   log pseudolikelihood = {res}-830.85509
{txt}Iteration 4:   log pseudolikelihood = {res}-830.85509

{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-830.85509}  
Iteration 1:{space 3}log pseudolikelihood = {res:-623.23822}  
Iteration 2:{space 3}log pseudolikelihood = {res:-541.54446}  
Iteration 3:{space 3}log pseudolikelihood = {res:-540.42558}  
Iteration 4:{space 3}log pseudolikelihood = {res:-540.42432}  
Iteration 5:{space 3}log pseudolikelihood = {res:-540.42432}  
{res}
{txt}Weibull PH regression

No. of subjects      = {res}         860             {txt}Number of obs    =  {res}       860
{txt}No. of failures      = {res}         831
{txt}Time at risk         = {res}      850034
                                                {txt}Wald chi2({res}22{txt})    =  {res}   1122.12
{txt}Log pseudolikelihood =   {res}-540.42432             {txt}Prob > chi2      =  {res}    0.0000

{txt}{ralign 100:(Std. Err. adjusted for {res:41} clusters in sbagency)}
{hline 35}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 36}{c |}{col 48}    Robust
{col 1}                                _t{col 36}{c |} Haz. Ratio{col 48}   Std. Err.{col 60}      z{col 68}   P>|z|{col 76}     [95% Con{col 89}f. Interval]
{hline 35}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}zloyalmedian {c |}{col 36}{res}{space 2} 1.416997{col 48}{space 2} .1457722{col 59}{space 1}    3.39{col 68}{space 3}0.001{col 76}{space 4}  1.15825{col 89}{space 3} 1.733546
{txt}{space 13}1.soubinaryagency2nom {c |}{col 36}{res}{space 2}  1.12472{col 48}{space 2} .1261335{col 59}{space 1}    1.05{col 68}{space 3}0.295{col 76}{space 4} .9027863{col 89}{space 3} 1.401211
{txt}{space 34} {c |}
soubinaryagency2nom#c.zloyalmedian {c |}
{space 32}1  {c |}{col 36}{res}{space 2} .6414565{col 48}{space 2}  .073092{col 59}{space 1}   -3.90{col 68}{space 3}0.000{col 76}{space 4} .5130686{col 89}{space 3} .8019716
{txt}{space 34} {c |}
{space 21}zpecompmedian {c |}{col 36}{res}{space 2} .9894902{col 48}{space 2} .0717008{col 59}{space 1}   -0.15{col 68}{space 3}0.884{col 76}{space 4} .8584824{col 89}{space 3}  1.14049
{txt}{space 21}zmecompmedian {c |}{col 36}{res}{space 2} 1.007805{col 48}{space 2}   .05935{col 59}{space 1}    0.13{col 68}{space 3}0.895{col 76}{space 4} .8979435{col 89}{space 3} 1.131108
{txt}{space 25}toplevel2 {c |}{col 36}{res}{space 2} .5982522{col 48}{space 2} .0492594{col 59}{space 1}   -6.24{col 68}{space 3}0.000{col 76}{space 4} .5090933{col 89}{space 3} .7030259
{txt}{space 14}presagencyideolalign {c |}{col 36}{res}{space 2} 1.469646{col 48}{space 2} .1384937{col 59}{space 1}    4.09{col 68}{space 3}0.000{col 76}{space 4} 1.221796{col 89}{space 3} 1.767773
{txt}{space 12}presagencyideolopposed {c |}{col 36}{res}{space 2} 1.364392{col 48}{space 2} .1359547{col 59}{space 1}    3.12{col 68}{space 3}0.002{col 76}{space 4} 1.122332{col 89}{space 3} 1.658659
{txt}{space 19}subagencydesign {c |}{col 36}{res}{space 2} 1.101548{col 48}{space 2} .1678294{col 59}{space 1}    0.63{col 68}{space 3}0.526{col 76}{space 4} .8171772{col 89}{space 3} 1.484877
{txt}{space 12}standaloneagencydesign {c |}{col 36}{res}{space 2} .8275693{col 48}{space 2} .0757049{col 59}{space 1}   -2.07{col 68}{space 3}0.039{col 76}{space 4} .6917317{col 89}{space 3} .9900818
{txt}{space 8}okstartsenpolarizationmean {c |}{col 36}{res}{space 2} .0004557{col 48}{space 2} .0011962{col 59}{space 1}   -2.93{col 68}{space 3}0.003{col 76}{space 4} 2.66e-06{col 89}{space 3} .0781819
{txt}{space 11}okstartfilipresdistance {c |}{col 36}{res}{space 2} 1.950067{col 48}{space 2} .4347302{col 59}{space 1}    3.00{col 68}{space 3}0.003{col 76}{space 4} 1.259767{col 89}{space 3} 3.018621
{txt}{space 23}okcrossover {c |}{col 36}{res}{space 2} .2003127{col 48}{space 2} .0355591{col 59}{space 1}   -9.06{col 68}{space 3}0.000{col 76}{space 4} .1414507{col 89}{space 3} .2836691
{txt}{space 20}okstartpresapp {c |}{col 36}{res}{space 2} .9949394{col 48}{space 2} .0034308{col 59}{space 1}   -1.47{col 68}{space 3}0.141{col 76}{space 4} .9882378{col 89}{space 3} 1.001686
{txt}{space 15}okstartunemployment {c |}{col 36}{res}{space 2} .9330318{col 48}{space 2} .0428764{col 59}{space 1}   -1.51{col 68}{space 3}0.131{col 76}{space 4}  .852669{col 89}{space 3} 1.020969
{txt}{space 34} {c |}
{space 23}okstartadyr {c |}
{space 32}2  {c |}{col 36}{res}{space 2} 1.843199{col 48}{space 2} .3770855{col 59}{space 1}    2.99{col 68}{space 3}0.003{col 76}{space 4} 1.234331{col 89}{space 3} 2.752408
{txt}{space 32}3  {c |}{col 36}{res}{space 2} 5.842987{col 48}{space 2} .7907489{col 59}{space 1}   13.04{col 68}{space 3}0.000{col 76}{space 4} 4.481664{col 89}{space 3} 7.617818
{txt}{space 32}4  {c |}{col 36}{res}{space 2} 4.773423{col 48}{space 2} 1.450344{col 59}{space 1}    5.14{col 68}{space 3}0.000{col 76}{space 4} 2.631499{col 89}{space 3} 8.658779
{txt}{space 32}5  {c |}{col 36}{res}{space 2} 1.337742{col 48}{space 2} .1764574{col 59}{space 1}    2.21{col 68}{space 3}0.027{col 76}{space 4} 1.032982{col 89}{space 3} 1.732414
{txt}{space 32}6  {c |}{col 36}{res}{space 2} 2.726809{col 48}{space 2}  .327302{col 59}{space 1}    8.36{col 68}{space 3}0.000{col 76}{space 4} 2.155183{col 89}{space 3}  3.45005
{txt}{space 32}7  {c |}{col 36}{res}{space 2} 5.651467{col 48}{space 2}  1.33765{col 59}{space 1}    7.32{col 68}{space 3}0.000{col 76}{space 4} 3.553773{col 89}{space 3} 8.987371
{txt}{space 32}8  {c |}{col 36}{res}{space 2} 8.638978{col 48}{space 2} 2.551095{col 59}{space 1}    7.30{col 68}{space 3}0.000{col 76}{space 4} 4.842862{col 89}{space 3} 15.41071
{txt}{space 34} {c |}
{space 29}_cons {c |}{col 36}{res}{space 2} 3.46e-06{col 48}{space 2} 6.84e-06{col 59}{space 1}   -6.36{col 68}{space 3}0.000{col 76}{space 4} 7.16e-08{col 89}{space 3} .0001668
{txt}{hline 35}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 29}/ln_p {c |}{col 36}{res}{space 2}   .91598{col 48}{space 2}  .031908{col 59}{space 1}   28.71{col 68}{space 3}0.000{col 76}{space 4} .8534414{col 89}{space 3} .9785186
{txt}{hline 35}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                                 p {c |}{col 36}{res}{space 2} 2.499223{col 48}{space 2} .0797453{col 76}{space 4} 2.347712{col 89}{space 3} 2.660512
{txt}                               1/p {c |}{col 36}{res}{space 2} .4001243{col 48}{space 2} .0127672{col 76}{space 4} .3758675{col 89}{space 3} .4259466
{txt}{hline 35}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {res:_cons} estimates baseline hazard{txt}.{p_end}

{com}. *
. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}       860{col 28}-830.8551{col 39}-540.4243{col 50}    24{col 58} 1128.849{col 69} 1243.015
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] BIC note}}.{p_end}

{com}. *
. * Assess the Total Effect of Appointee Loyalty on Appointee Tenure in Priority Agencies: Priority Agency as Conditioning Covariate * 
. lincom  zloyalmedian + 1.soubinaryagency2nom#c.zloyalmedian, hr

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[_t]zloyalmedian + [_t]1.soubinaryagency2nom#c.zloyalmedian = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .9089419{col 26}{space 2} .0706329{col 37}{space 1}   -1.23{col 46}{space 3}0.219{col 54}{space 4}  .780531{col 67}{space 3} 1.058479
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. * Assess the Total Effect of Appointee Loyalty on Appointee Tenure in Priority Agencies: Appointee Loyalty as Conditioning Covariate * 
. lincom  1.soubinaryagency2nom + 1.soubinaryagency2nom#c.zloyalmedian, hr

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[_t]1.soubinaryagency2nom + [_t]1.soubinaryagency2nom#c.zloyalmedian = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .7214587{col 26}{space 2} .0941356{col 37}{space 1}   -2.50{col 46}{space 3}0.012{col 54}{space 4} .5586594{col 67}{space 3} .9316994
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. *
. *
. estimates store model3
{txt}
{com}. estout model3, cells(b(star fmt(3)) se(par fmt(3))) eform
{res}
{txt}{hline 28}
{txt}                   model3   
{txt}                     b/se   
{txt}{hline 28}
{res}_t                          {txt}
{txt}zloyalmedian{res}        1.417***{txt}
            {res}      (0.146)   {txt}
{txt}0.soubinar~m{res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}1.soubinar~m{res}        1.125   {txt}
            {res}      (0.126)   {txt}
{txt}0.soubinar~i{res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}1.soubinar~i{res}        0.641***{txt}
            {res}      (0.073)   {txt}
{txt}zpecompmed~n{res}        0.989   {txt}
            {res}      (0.072)   {txt}
{txt}zmecompmed~n{res}        1.008   {txt}
            {res}      (0.059)   {txt}
{txt}toplevel2   {res}        0.598***{txt}
            {res}      (0.049)   {txt}
{txt}presagency~n{res}        1.470***{txt}
            {res}      (0.138)   {txt}
{txt}presagency~d{res}        1.364** {txt}
            {res}      (0.136)   {txt}
{txt}subagencyd~n{res}        1.102   {txt}
            {res}      (0.168)   {txt}
{txt}standalone~n{res}        0.828*  {txt}
            {res}      (0.076)   {txt}
{txt}okstartsen~n{res}        0.000** {txt}
            {res}      (0.001)   {txt}
{txt}okstartfil~e{res}        1.950** {txt}
            {res}      (0.435)   {txt}
{txt}okcrossover {res}        0.200***{txt}
            {res}      (0.036)   {txt}
{txt}okstartpre~p{res}        0.995   {txt}
            {res}      (0.003)   {txt}
{txt}okstartune~t{res}        0.933   {txt}
            {res}      (0.043)   {txt}
{txt}1.okstarta~r{res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}2.okstarta~r{res}        1.843** {txt}
            {res}      (0.377)   {txt}
{txt}3.okstarta~r{res}        5.843***{txt}
            {res}      (0.791)   {txt}
{txt}4.okstarta~r{res}        4.773***{txt}
            {res}      (1.450)   {txt}
{txt}5.okstarta~r{res}        1.338*  {txt}
            {res}      (0.176)   {txt}
{txt}6.okstarta~r{res}        2.727***{txt}
            {res}      (0.327)   {txt}
{txt}7.okstarta~r{res}        5.651***{txt}
            {res}      (1.338)   {txt}
{txt}8.okstarta~r{res}        8.639***{txt}
            {res}      (2.551)   {txt}
{txt}_cons       {res}        0.000***{txt}
            {res}      (0.000)   {txt}
{txt}{hline 28}
{res}/                           {txt}
{txt}ln_p        {res}        2.499***{txt}
            {res}      (0.080)   {txt}
{txt}{hline 28}

{com}. 
. 
. *** COMPUTE Figure 2: Interquartile Increase Marginal Effect Change of Appointee Loyalty on the HAZARD RATIO of APPOINTEE TENURE {c -(}PP − NPP Difference{c )-} {c -(}{c -(}4 [M1−M4] × 1 Horizontal Point Estimates and 95% CIs{c )-}{c )-}. ****
. ** NOTE: IQR = 1.3653231 [0.9692858 - (-0.3960373)]
. 
. lincomest 1.soubinaryagency2nom#c.zloyalmedian*1.3653231, eform(hr)
{txt}Confidence interval for formula:
{res}1.soubinaryagency2nom#c.zloyalmedian*1.3653231

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .5454073{col 26}{space 2} .0848514{col 37}{space 1}   -3.90{col 46}{space 3}0.000{col 54}{space 4} .4020646{col 67}{space 3} .7398541
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix model3zloyal = r(table)
{txt}
{com}. mat list model3zloyal
{res}
{txt}model3zloyal[9,1]
               (1)
     b {res}  .54540728
{txt}    se {res}  .08485139
{txt}     z {res} -3.8966735
{txt}pvalue {res}  .00009752
{txt}    ll {res}  .40206456
{txt}    ul {res}  .73985406
{txt}    df {res}          .
{txt}  crit {res}   1.959964
{txt} eform {res}          1
{reset}
{com}. 
. 
. 
. **** COMPUTE Figure 3: Interquartile Increase Marginal Effect Change of Appointee Loyalty on the MEDIAN NUMBER OF DAYS OF APPOINTEE TENURE {c -(}PP − NPP Difference{c )-} {c -(}{c -(}4 [M1−M4] × 1 Horizontal Point Estimates and 95% CIs{c )-}.
. ** NOTE: IQR = 1.3653231 [0.9692858 - (-0.3960373)]
. 
. ** Generate 'manual' interaction variable ** 
. generate loyalppdiff = soubinaryagency2nom*zloyalmedian
{txt}
{com}. 
. ** Re-Estimate Model 3  with 'manual' interaction variable **
. streg   zloyalmedian soubinaryagency2nom loyalppdiff  zpecompmedian  zmecompmedian   toplevel2   presagencyideolalign  presagencyideolopposed subagencydesign standaloneagencydesign  okstartsenpolarizationmean okstartfilipresdistance   okcrossover okstartpresapp okstartunemployment  i.okstartadyr, distribution(weibull) hr vce(cluster sbagency)

         {txt}failure _d:  {res}singleadmin_service
   {txt}analysis time _t:  {res}okapptdur

{txt}Fitting constant-only model:

Iteration 0:   log pseudolikelihood = {res}-1012.6928
{txt}Iteration 1:   log pseudolikelihood = {res}-835.21164
{txt}Iteration 2:   log pseudolikelihood = {res}-830.85586
{txt}Iteration 3:   log pseudolikelihood = {res}-830.85509
{txt}Iteration 4:   log pseudolikelihood = {res}-830.85509

{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-830.85509}  
Iteration 1:{space 3}log pseudolikelihood = {res:-623.23822}  
Iteration 2:{space 3}log pseudolikelihood = {res:-541.54446}  
Iteration 3:{space 3}log pseudolikelihood = {res:-540.42558}  
Iteration 4:{space 3}log pseudolikelihood = {res:-540.42432}  
Iteration 5:{space 3}log pseudolikelihood = {res:-540.42432}  
{res}
{txt}Weibull PH regression

No. of subjects      = {res}         860             {txt}Number of obs    =  {res}       860
{txt}No. of failures      = {res}         831
{txt}Time at risk         = {res}      850034
                                                {txt}Wald chi2({res}22{txt})    =  {res}   1122.12
{txt}Log pseudolikelihood =   {res}-540.42432             {txt}Prob > chi2      =  {res}    0.0000

{txt}{ralign 92:(Std. Err. adjusted for {res:41} clusters in sbagency)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                        _t{col 28}{c |} Haz. Ratio{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}zloyalmedian {c |}{col 28}{res}{space 2} 1.416997{col 40}{space 2} .1457722{col 51}{space 1}    3.39{col 60}{space 3}0.001{col 68}{space 4}  1.15825{col 81}{space 3} 1.733546
{txt}{space 7}soubinaryagency2nom {c |}{col 28}{res}{space 2}  1.12472{col 40}{space 2} .1261335{col 51}{space 1}    1.05{col 60}{space 3}0.295{col 68}{space 4} .9027863{col 81}{space 3} 1.401211
{txt}{space 15}loyalppdiff {c |}{col 28}{res}{space 2} .6414565{col 40}{space 2}  .073092{col 51}{space 1}   -3.90{col 60}{space 3}0.000{col 68}{space 4} .5130686{col 81}{space 3} .8019716
{txt}{space 13}zpecompmedian {c |}{col 28}{res}{space 2} .9894902{col 40}{space 2} .0717008{col 51}{space 1}   -0.15{col 60}{space 3}0.884{col 68}{space 4} .8584824{col 81}{space 3}  1.14049
{txt}{space 13}zmecompmedian {c |}{col 28}{res}{space 2} 1.007805{col 40}{space 2}   .05935{col 51}{space 1}    0.13{col 60}{space 3}0.895{col 68}{space 4} .8979435{col 81}{space 3} 1.131108
{txt}{space 17}toplevel2 {c |}{col 28}{res}{space 2} .5982522{col 40}{space 2} .0492594{col 51}{space 1}   -6.24{col 60}{space 3}0.000{col 68}{space 4} .5090933{col 81}{space 3} .7030259
{txt}{space 6}presagencyideolalign {c |}{col 28}{res}{space 2} 1.469646{col 40}{space 2} .1384937{col 51}{space 1}    4.09{col 60}{space 3}0.000{col 68}{space 4} 1.221796{col 81}{space 3} 1.767773
{txt}{space 4}presagencyideolopposed {c |}{col 28}{res}{space 2} 1.364392{col 40}{space 2} .1359547{col 51}{space 1}    3.12{col 60}{space 3}0.002{col 68}{space 4} 1.122332{col 81}{space 3} 1.658659
{txt}{space 11}subagencydesign {c |}{col 28}{res}{space 2} 1.101548{col 40}{space 2} .1678294{col 51}{space 1}    0.63{col 60}{space 3}0.526{col 68}{space 4} .8171772{col 81}{space 3} 1.484877
{txt}{space 4}standaloneagencydesign {c |}{col 28}{res}{space 2} .8275693{col 40}{space 2} .0757049{col 51}{space 1}   -2.07{col 60}{space 3}0.039{col 68}{space 4} .6917317{col 81}{space 3} .9900818
{txt}okstartsenpolarizationmean {c |}{col 28}{res}{space 2} .0004557{col 40}{space 2} .0011962{col 51}{space 1}   -2.93{col 60}{space 3}0.003{col 68}{space 4} 2.66e-06{col 81}{space 3} .0781819
{txt}{space 3}okstartfilipresdistance {c |}{col 28}{res}{space 2} 1.950067{col 40}{space 2} .4347302{col 51}{space 1}    3.00{col 60}{space 3}0.003{col 68}{space 4} 1.259767{col 81}{space 3} 3.018621
{txt}{space 15}okcrossover {c |}{col 28}{res}{space 2} .2003127{col 40}{space 2} .0355591{col 51}{space 1}   -9.06{col 60}{space 3}0.000{col 68}{space 4} .1414507{col 81}{space 3} .2836691
{txt}{space 12}okstartpresapp {c |}{col 28}{res}{space 2} .9949394{col 40}{space 2} .0034308{col 51}{space 1}   -1.47{col 60}{space 3}0.141{col 68}{space 4} .9882378{col 81}{space 3} 1.001686
{txt}{space 7}okstartunemployment {c |}{col 28}{res}{space 2} .9330318{col 40}{space 2} .0428764{col 51}{space 1}   -1.51{col 60}{space 3}0.131{col 68}{space 4}  .852669{col 81}{space 3} 1.020969
{txt}{space 26} {c |}
{space 15}okstartadyr {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 1.843199{col 40}{space 2} .3770855{col 51}{space 1}    2.99{col 60}{space 3}0.003{col 68}{space 4} 1.234331{col 81}{space 3} 2.752408
{txt}{space 24}3  {c |}{col 28}{res}{space 2} 5.842987{col 40}{space 2} .7907489{col 51}{space 1}   13.04{col 60}{space 3}0.000{col 68}{space 4} 4.481664{col 81}{space 3} 7.617818
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 4.773423{col 40}{space 2} 1.450344{col 51}{space 1}    5.14{col 60}{space 3}0.000{col 68}{space 4} 2.631499{col 81}{space 3} 8.658779
{txt}{space 24}5  {c |}{col 28}{res}{space 2} 1.337742{col 40}{space 2} .1764574{col 51}{space 1}    2.21{col 60}{space 3}0.027{col 68}{space 4} 1.032982{col 81}{space 3} 1.732414
{txt}{space 24}6  {c |}{col 28}{res}{space 2} 2.726809{col 40}{space 2}  .327302{col 51}{space 1}    8.36{col 60}{space 3}0.000{col 68}{space 4} 2.155183{col 81}{space 3}  3.45005
{txt}{space 24}7  {c |}{col 28}{res}{space 2} 5.651467{col 40}{space 2}  1.33765{col 51}{space 1}    7.32{col 60}{space 3}0.000{col 68}{space 4} 3.553773{col 81}{space 3} 8.987371
{txt}{space 24}8  {c |}{col 28}{res}{space 2} 8.638978{col 40}{space 2} 2.551095{col 51}{space 1}    7.30{col 60}{space 3}0.000{col 68}{space 4} 4.842862{col 81}{space 3} 15.41071
{txt}{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} 3.46e-06{col 40}{space 2} 6.84e-06{col 51}{space 1}   -6.36{col 60}{space 3}0.000{col 68}{space 4} 7.16e-08{col 81}{space 3} .0001668
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/ln_p {c |}{col 28}{res}{space 2}   .91598{col 40}{space 2}  .031908{col 51}{space 1}   28.71{col 60}{space 3}0.000{col 68}{space 4} .8534414{col 81}{space 3} .9785186
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         p {c |}{col 28}{res}{space 2} 2.499223{col 40}{space 2} .0797453{col 68}{space 4} 2.347712{col 81}{space 3} 2.660512
{txt}                       1/p {c |}{col 28}{res}{space 2} .4001243{col 40}{space 2} .0127672{col 68}{space 4} .3758675{col 81}{space 3} .4259466
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {res:_cons} estimates baseline hazard{txt}.{p_end}

{com}. 
. estimate store model3a
{txt}
{com}. 
. 
. margins, predict(median time) at(loyalppdiff=(-0.3960373 0.9692858))
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       860
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted median _t, predict(median time)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:loyalppdiff}{space 5}{txt:=} {space 2}-.3960373}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:loyalppdiff}{space 5}{txt:=} {space 3}.9692858}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 907.3206{col 26}{space 2} 23.43082{col 37}{space 1}   38.72{col 46}{space 3}0.000{col 54}{space 4}  861.397{col 67}{space 3} 953.2441
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1156.392{col 26}{space 2} 52.83459{col 37}{space 1}   21.89{col 46}{space 3}0.000{col 54}{space 4} 1052.838{col 67}{space 3} 1259.946
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ** Generate Differential Predicted Median Survival Time of Senate Committee Stage of Confirmation Process -- Based on Interquartile Differential [corresponding to Differential Marginal Hazard Ratio Estimates] **
. margins, predict(median time) at(loyalppdiff=(-0.3960373 0.9692858))  contrast(atcontrast(r))
{res}
{txt}Contrasts of predictive margins{col 49}Number of obs{col 67}= {res}       860
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted median _t, predict(median time)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:loyalppdiff}{space 5}{txt:=} {space 2}-.3960373}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:loyalppdiff}{space 5}{txt:=} {space 3}.9692858}{p_end}
{p2colreset}{...}

{res}{col 1}{text}{hline 13}{c TT}{hline 11}{hline 12}{hline 11}
{col 14}{text}{c |}         df{col 26}        chi2{col 38}     P>chi2
{res}{col 1}{text}{hline 13}{c +}{hline 11}{hline 12}{hline 11}
{space 9}_at {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    13.44{col 38}{space 2}   0.0002
{col 1}{text}{hline 13}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}   Contrast{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 9}_at {c |}
{space 3}(2 vs 1)  {c |}{col 14}{res}{space 2} 249.0715{col 26}{space 2} 67.93026{col 37}{space 5} 115.9307{col 51}{space 3} 382.2124
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. matrix model3azloyal = r(table)
{txt}
{com}. mat list model3azloyal
{res}
{txt}model3azloyal[9,1]
            r2vs1.
              _at
     b {res} 249.07153
{txt}    se {res} 67.930264
{txt}     z {res} 3.6665769
{txt}pvalue {res} .00024582
{txt}    ll {res} 115.93066
{txt}    ul {res} 382.21241
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         0
{reset}
{com}. 
. 
. 
. estimates restore model3a
{txt}(results {stata estimates replay model3a:model3a} are active now)

{com}. 
. margins, predict(median time) at(loyalppdiff=(-0.6451644 1.711348))
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       860
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted median _t, predict(median time)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:loyalppdiff}{space 5}{txt:=} {space 2}-.6451644}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:loyalppdiff}{space 5}{txt:=} {space 3}1.711348}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 868.0382{col 26}{space 2} 30.86064{col 37}{space 1}   28.13{col 46}{space 3}0.000{col 54}{space 4} 807.5525{col 67}{space 3} 928.5239
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1319.351{col 26}{space 2} 103.7931{col 37}{space 1}   12.71{col 46}{space 3}0.000{col 54}{space 4} 1115.921{col 67}{space 3} 1522.782
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, predict(median time) at(loyalppdiff=(-0.6451644 1.711348))  contrast(atcontrast(r))
{res}
{txt}Contrasts of predictive margins{col 49}Number of obs{col 67}= {res}       860
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted median _t, predict(median time)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:loyalppdiff}{space 5}{txt:=} {space 2}-.6451644}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:loyalppdiff}{space 5}{txt:=} {space 3}1.711348}{p_end}
{p2colreset}{...}

{res}{col 1}{text}{hline 13}{c TT}{hline 11}{hline 12}{hline 11}
{col 14}{text}{c |}         df{col 26}        chi2{col 38}     P>chi2
{res}{col 1}{text}{hline 13}{c +}{hline 11}{hline 12}{hline 11}
{space 9}_at {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    12.17{col 38}{space 2}   0.0005
{col 1}{text}{hline 13}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}   Contrast{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 9}_at {c |}
{space 3}(2 vs 1)  {c |}{col 14}{res}{space 2} 451.3132{col 26}{space 2} 129.3434{col 37}{space 5} 197.8047{col 51}{space 3} 704.8217
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. matrix model3bzloyal = r(table)
{txt}
{com}. mat list model3bzloyal
{res}
{txt}model3bzloyal[9,1]
            r2vs1.
              _at
     b {res} 451.31321
{txt}    se {res} 129.34345
{txt}     z {res} 3.4892623
{txt}pvalue {res} .00048436
{txt}    ll {res} 197.80471
{txt}    ul {res}  704.8217
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         0
{reset}
{com}. 
. 
. 
. 
. 
. ******************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. **** MODEL 4: WEIBULL MODEL [INCLUSION OF BOTH AGENCY AND PRESIDENTIAL ADMINISTRATION FIXED EFFECTS: CLUSTER-ADJUSTED STANDARD ERRORS BY AGENCY] ****
. 
. streg   c.zloyalmedian##i.soubinaryagency2nom  zpecompmedian  zmecompmedian   toplevel2   presagencyideolalign  presagencyideolopposed subagencydesign standaloneagencydesign  okstartsenpolarizationmean okstartfilipresdistance   okcrossover okstartpresapp okstartunemployment  i.okstartadyr  i.sbagency reagan bush41 clinton bush43, distribution(weibull) hr vce(cluster sbagency)

         {txt}failure _d:  {res}singleadmin_service
   {txt}analysis time _t:  {res}okapptdur
{txt}note: 27.sbagency omitted because of collinearity
note: 57.sbagency omitted because of collinearity
note: 61.sbagency omitted because of collinearity

Fitting constant-only model:

Iteration 0:   log pseudolikelihood = {res}-1012.6928
{txt}Iteration 1:   log pseudolikelihood = {res}-835.21164
{txt}Iteration 2:   log pseudolikelihood = {res}-830.85586
{txt}Iteration 3:   log pseudolikelihood = {res}-830.85509
{txt}Iteration 4:   log pseudolikelihood = {res}-830.85509

{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-830.85509}  
Iteration 1:{space 3}log pseudolikelihood = {res:-604.21225}  
Iteration 2:{space 3}log pseudolikelihood = {res:-499.15183}  
Iteration 3:{space 3}log pseudolikelihood = {res:-497.85317}  
Iteration 4:{space 3}log pseudolikelihood = {res:-497.85043}  
Iteration 5:{space 3}log pseudolikelihood = {res:-497.85043}  
{res}
{txt}Weibull PH regression

No. of subjects      = {res}         860             {txt}Number of obs    =  {res}       860
{txt}No. of failures      = {res}         831
{txt}Time at risk         = {res}      850034
{col 49}{help j_robustsingular##|_new:Wald chi2(22)}{txt}{col 66}=  {res}         .
{txt}Log pseudolikelihood =   {res}-497.85043             {txt}Prob > chi2      =  {res}         .

{txt}{ralign 100:(Std. Err. adjusted for {res:41} clusters in sbagency)}
{hline 35}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 36}{c |}{col 48}    Robust
{col 1}                                _t{col 36}{c |} Haz. Ratio{col 48}   Std. Err.{col 60}      z{col 68}   P>|z|{col 76}     [95% Con{col 89}f. Interval]
{hline 35}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}zloyalmedian {c |}{col 36}{res}{space 2} 1.375024{col 48}{space 2} .1587628{col 59}{space 1}    2.76{col 68}{space 3}0.006{col 76}{space 4} 1.096551{col 89}{space 3} 1.724215
{txt}{space 13}1.soubinaryagency2nom {c |}{col 36}{res}{space 2} 1.153634{col 48}{space 2}  .205655{col 59}{space 1}    0.80{col 68}{space 3}0.423{col 76}{space 4} .8134419{col 89}{space 3} 1.636098
{txt}{space 34} {c |}
soubinaryagency2nom#c.zloyalmedian {c |}
{space 32}1  {c |}{col 36}{res}{space 2} .6306902{col 48}{space 2} .0869891{col 59}{space 1}   -3.34{col 68}{space 3}0.001{col 76}{space 4} .4812963{col 89}{space 3} .8264557
{txt}{space 34} {c |}
{space 21}zpecompmedian {c |}{col 36}{res}{space 2} 1.041572{col 48}{space 2} .0817388{col 59}{space 1}    0.52{col 68}{space 3}0.604{col 76}{space 4} .8930797{col 89}{space 3} 1.214755
{txt}{space 21}zmecompmedian {c |}{col 36}{res}{space 2} .9846415{col 48}{space 2}  .065965{col 59}{space 1}   -0.23{col 68}{space 3}0.817{col 76}{space 4}  .863481{col 89}{space 3} 1.122803
{txt}{space 25}toplevel2 {c |}{col 36}{res}{space 2} .5394921{col 48}{space 2} .0567041{col 59}{space 1}   -5.87{col 68}{space 3}0.000{col 76}{space 4} .4390544{col 89}{space 3} .6629058
{txt}{space 14}presagencyideolalign {c |}{col 36}{res}{space 2} .7369114{col 48}{space 2} .1849133{col 59}{space 1}   -1.22{col 68}{space 3}0.224{col 76}{space 4} .4506331{col 89}{space 3} 1.205057
{txt}{space 12}presagencyideolopposed {c |}{col 36}{res}{space 2} .6935274{col 48}{space 2} .1764129{col 59}{space 1}   -1.44{col 68}{space 3}0.150{col 76}{space 4}  .421253{col 89}{space 3} 1.141785
{txt}{space 19}subagencydesign {c |}{col 36}{res}{space 2} 1.685222{col 48}{space 2} .2970439{col 59}{space 1}    2.96{col 68}{space 3}0.003{col 76}{space 4} 1.192946{col 89}{space 3} 2.380637
{txt}{space 12}standaloneagencydesign {c |}{col 36}{res}{space 2} 1.743278{col 48}{space 2} .4804177{col 59}{space 1}    2.02{col 68}{space 3}0.044{col 76}{space 4} 1.015757{col 89}{space 3} 2.991874
{txt}{space 8}okstartsenpolarizationmean {c |}{col 36}{res}{space 2} 7.77e-11{col 48}{space 2} 8.13e-10{col 59}{space 1}   -2.23{col 68}{space 3}0.026{col 76}{space 4} 9.78e-20{col 89}{space 3} .0617804
{txt}{space 11}okstartfilipresdistance {c |}{col 36}{res}{space 2} 893.7962{col 48}{space 2} 2000.161{col 59}{space 1}    3.04{col 68}{space 3}0.002{col 76}{space 4} 11.12747{col 89}{space 3} 71792.74
{txt}{space 23}okcrossover {c |}{col 36}{res}{space 2} .1747373{col 48}{space 2}  .037021{col 59}{space 1}   -8.23{col 68}{space 3}0.000{col 76}{space 4} .1153572{col 89}{space 3} .2646835
{txt}{space 20}okstartpresapp {c |}{col 36}{res}{space 2} .9902345{col 48}{space 2} .0045307{col 59}{space 1}   -2.14{col 68}{space 3}0.032{col 76}{space 4} .9813942{col 89}{space 3} .9991544
{txt}{space 15}okstartunemployment {c |}{col 36}{res}{space 2} 1.130022{col 48}{space 2} .0980922{col 59}{space 1}    1.41{col 68}{space 3}0.159{col 76}{space 4} .9532305{col 89}{space 3} 1.339603
{txt}{space 34} {c |}
{space 23}okstartadyr {c |}
{space 32}2  {c |}{col 36}{res}{space 2} 1.653304{col 48}{space 2} .3679208{col 59}{space 1}    2.26{col 68}{space 3}0.024{col 76}{space 4}  1.06888{col 89}{space 3} 2.557268
{txt}{space 32}3  {c |}{col 36}{res}{space 2} 4.383809{col 48}{space 2} .9244283{col 59}{space 1}    7.01{col 68}{space 3}0.000{col 76}{space 4} 2.899719{col 89}{space 3} 6.627463
{txt}{space 32}4  {c |}{col 36}{res}{space 2} 3.942686{col 48}{space 2} 1.239194{col 59}{space 1}    4.36{col 68}{space 3}0.000{col 76}{space 4} 2.129403{col 89}{space 3} 7.300061
{txt}{space 32}5  {c |}{col 36}{res}{space 2}  1.52843{col 48}{space 2}  .378723{col 59}{space 1}    1.71{col 68}{space 3}0.087{col 76}{space 4} .9404376{col 89}{space 3} 2.484054
{txt}{space 32}6  {c |}{col 36}{res}{space 2} 3.451085{col 48}{space 2} .8518352{col 59}{space 1}    5.02{col 68}{space 3}0.000{col 76}{space 4} 2.127417{col 89}{space 3} 5.598333
{txt}{space 32}7  {c |}{col 36}{res}{space 2} 6.295532{col 48}{space 2} 1.865565{col 59}{space 1}    6.21{col 68}{space 3}0.000{col 76}{space 4} 3.522043{col 89}{space 3} 11.25305
{txt}{space 32}8  {c |}{col 36}{res}{space 2} 10.02152{col 48}{space 2} 3.814879{col 59}{space 1}    6.05{col 68}{space 3}0.000{col 76}{space 4} 4.752342{col 89}{space 3} 21.13291
{txt}{space 34} {c |}
{space 26}sbagency {c |}
{space 32}2  {c |}{col 36}{res}{space 2} 2.832157{col 48}{space 2}  .761487{col 59}{space 1}    3.87{col 68}{space 3}0.000{col 76}{space 4} 1.672065{col 89}{space 3} 4.797128
{txt}{space 32}3  {c |}{col 36}{res}{space 2} 1.808613{col 48}{space 2} .4552409{col 59}{space 1}    2.35{col 68}{space 3}0.019{col 76}{space 4} 1.104313{col 89}{space 3} 2.962097
{txt}{space 32}4  {c |}{col 36}{res}{space 2} 1.234729{col 48}{space 2} .2752436{col 59}{space 1}    0.95{col 68}{space 3}0.344{col 76}{space 4} .7976698{col 89}{space 3} 1.911261
{txt}{space 32}5  {c |}{col 36}{res}{space 2} 1.041834{col 48}{space 2} .2765581{col 59}{space 1}    0.15{col 68}{space 3}0.877{col 76}{space 4} .6192193{col 89}{space 3} 1.752882
{txt}{space 32}6  {c |}{col 36}{res}{space 2} 2.509995{col 48}{space 2} .5911122{col 59}{space 1}    3.91{col 68}{space 3}0.000{col 76}{space 4}  1.58202{col 89}{space 3} 3.982297
{txt}{space 32}7  {c |}{col 36}{res}{space 2} 1.786664{col 48}{space 2} .5124548{col 59}{space 1}    2.02{col 68}{space 3}0.043{col 76}{space 4} 1.018356{col 89}{space 3} 3.134631
{txt}{space 32}8  {c |}{col 36}{res}{space 2} 2.373431{col 48}{space 2} .6278618{col 59}{space 1}    3.27{col 68}{space 3}0.001{col 76}{space 4} 1.413194{col 89}{space 3}  3.98613
{txt}{space 32}9  {c |}{col 36}{res}{space 2} 2.225332{col 48}{space 2} .5587987{col 59}{space 1}    3.19{col 68}{space 3}0.001{col 76}{space 4} 1.360352{col 89}{space 3}  3.64031
{txt}{space 31}11  {c |}{col 36}{res}{space 2} 3.703864{col 48}{space 2} 1.144586{col 59}{space 1}    4.24{col 68}{space 3}0.000{col 76}{space 4} 2.021215{col 89}{space 3} 6.787308
{txt}{space 31}12  {c |}{col 36}{res}{space 2} 1.709868{col 48}{space 2}  .290355{col 59}{space 1}    3.16{col 68}{space 3}0.002{col 76}{space 4} 1.225798{col 89}{space 3} 2.385099
{txt}{space 31}13  {c |}{col 36}{res}{space 2} 1.544219{col 48}{space 2} .3641007{col 59}{space 1}    1.84{col 68}{space 3}0.065{col 76}{space 4} .9727696{col 89}{space 3} 2.451364
{txt}{space 31}14  {c |}{col 36}{res}{space 2} 2.418647{col 48}{space 2} .6620859{col 59}{space 1}    3.23{col 68}{space 3}0.001{col 76}{space 4} 1.414368{col 89}{space 3} 4.136017
{txt}{space 31}15  {c |}{col 36}{res}{space 2} 1.618903{col 48}{space 2} .4115568{col 59}{space 1}    1.90{col 68}{space 3}0.058{col 76}{space 4} .9836234{col 89}{space 3} 2.664483
{txt}{space 31}16  {c |}{col 36}{res}{space 2} .8490932{col 48}{space 2} .1381262{col 59}{space 1}   -1.01{col 68}{space 3}0.315{col 76}{space 4} .6172857{col 89}{space 3} 1.167951
{txt}{space 31}17  {c |}{col 36}{res}{space 2} 1.615731{col 48}{space 2} .1250727{col 59}{space 1}    6.20{col 68}{space 3}0.000{col 76}{space 4} 1.388283{col 89}{space 3} 1.880442
{txt}{space 31}18  {c |}{col 36}{res}{space 2} 1.938672{col 48}{space 2} .5299753{col 59}{space 1}    2.42{col 68}{space 3}0.015{col 76}{space 4} 1.134517{col 89}{space 3} 3.312817
{txt}{space 31}19  {c |}{col 36}{res}{space 2} .8042553{col 48}{space 2} .1243205{col 59}{space 1}   -1.41{col 68}{space 3}0.159{col 76}{space 4} .5940412{col 89}{space 3} 1.088858
{txt}{space 31}20  {c |}{col 36}{res}{space 2} .3030017{col 48}{space 2} .0883753{col 59}{space 1}   -4.09{col 68}{space 3}0.000{col 76}{space 4} .1710718{col 89}{space 3} .5366754
{txt}{space 31}21  {c |}{col 36}{res}{space 2} .8814764{col 48}{space 2} .0799942{col 59}{space 1}   -1.39{col 68}{space 3}0.164{col 76}{space 4}  .737843{col 89}{space 3}  1.05307
{txt}{space 31}22  {c |}{col 36}{res}{space 2} .5227794{col 48}{space 2} .1752233{col 59}{space 1}   -1.94{col 68}{space 3}0.053{col 76}{space 4} .2710291{col 89}{space 3} 1.008373
{txt}{space 31}23  {c |}{col 36}{res}{space 2}  1.17553{col 48}{space 2} .2936578{col 59}{space 1}    0.65{col 68}{space 3}0.517{col 76}{space 4} .7204371{col 89}{space 3} 1.918101
{txt}{space 31}24  {c |}{col 36}{res}{space 2} .3410356{col 48}{space 2} .1339979{col 59}{space 1}   -2.74{col 68}{space 3}0.006{col 76}{space 4} .1578883{col 89}{space 3} .7366299
{txt}{space 31}25  {c |}{col 36}{res}{space 2} 1.502269{col 48}{space 2} .2167586{col 59}{space 1}    2.82{col 68}{space 3}0.005{col 76}{space 4} 1.132218{col 89}{space 3} 1.993267
{txt}{space 31}26  {c |}{col 36}{res}{space 2}   .80574{col 48}{space 2} .1241772{col 59}{space 1}   -1.40{col 68}{space 3}0.161{col 76}{space 4} .5956778{col 89}{space 3} 1.089879
{txt}{space 31}27  {c |}{col 36}{res}{space 2}        1{col 48}{txt}  (omitted)
{space 31}28  {c |}{col 36}{res}{space 2} 1.381344{col 48}{space 2} .1321202{col 59}{space 1}    3.38{col 68}{space 3}0.001{col 76}{space 4} 1.145217{col 89}{space 3} 1.666157
{txt}{space 31}29  {c |}{col 36}{res}{space 2} 3.335883{col 48}{space 2} 1.073496{col 59}{space 1}    3.74{col 68}{space 3}0.000{col 76}{space 4} 1.775383{col 89}{space 3} 6.268009
{txt}{space 31}30  {c |}{col 36}{res}{space 2} 1.401228{col 48}{space 2} .4054011{col 59}{space 1}    1.17{col 68}{space 3}0.244{col 76}{space 4} .7947687{col 89}{space 3} 2.470456
{txt}{space 31}50  {c |}{col 36}{res}{space 2} 1.941637{col 48}{space 2} .3765196{col 59}{space 1}    3.42{col 68}{space 3}0.001{col 76}{space 4} 1.327713{col 89}{space 3} 2.839435
{txt}{space 31}51  {c |}{col 36}{res}{space 2} 3.049867{col 48}{space 2}  .774135{col 59}{space 1}    4.39{col 68}{space 3}0.000{col 76}{space 4} 1.854487{col 89}{space 3} 5.015772
{txt}{space 31}52  {c |}{col 36}{res}{space 2} 1.571156{col 48}{space 2} .5056538{col 59}{space 1}    1.40{col 68}{space 3}0.160{col 76}{space 4} .8361271{col 89}{space 3} 2.952339
{txt}{space 31}53  {c |}{col 36}{res}{space 2} 1.501159{col 48}{space 2} .1594852{col 59}{space 1}    3.82{col 68}{space 3}0.000{col 76}{space 4} 1.218973{col 89}{space 3} 1.848671
{txt}{space 31}54  {c |}{col 36}{res}{space 2} 1.599048{col 48}{space 2} .3037601{col 59}{space 1}    2.47{col 68}{space 3}0.013{col 76}{space 4} 1.101957{col 89}{space 3} 2.320376
{txt}{space 31}55  {c |}{col 36}{res}{space 2} 1.062978{col 48}{space 2} .3619615{col 59}{space 1}    0.18{col 68}{space 3}0.858{col 76}{space 4}  .545351{col 89}{space 3} 2.071917
{txt}{space 31}56  {c |}{col 36}{res}{space 2} .9789283{col 48}{space 2}  .357858{col 59}{space 1}   -0.06{col 68}{space 3}0.954{col 76}{space 4} .4781728{col 89}{space 3} 2.004089
{txt}{space 31}57  {c |}{col 36}{res}{space 2}        1{col 48}{txt}  (omitted)
{space 31}58  {c |}{col 36}{res}{space 2} 1.157172{col 48}{space 2} .3752958{col 59}{space 1}    0.45{col 68}{space 3}0.653{col 76}{space 4} .6128225{col 89}{space 3} 2.185047
{txt}{space 31}59  {c |}{col 36}{res}{space 2} .3777419{col 48}{space 2} .0908125{col 59}{space 1}   -4.05{col 68}{space 3}0.000{col 76}{space 4} .2358081{col 89}{space 3} .6051062
{txt}{space 31}60  {c |}{col 36}{res}{space 2} .9463974{col 48}{space 2} .1372484{col 59}{space 1}   -0.38{col 68}{space 3}0.704{col 76}{space 4} .7122471{col 89}{space 3} 1.257524
{txt}{space 31}61  {c |}{col 36}{res}{space 2}        1{col 48}{txt}  (omitted)
{space 34} {c |}
{space 28}reagan {c |}{col 36}{res}{space 2} .0624967{col 48}{space 2} .0587982{col 59}{space 1}   -2.95{col 68}{space 3}0.003{col 76}{space 4} .0098862{col 89}{space 3} .3950805
{txt}{space 28}bush41 {c |}{col 36}{res}{space 2} .1549419{col 48}{space 2} .0945989{col 59}{space 1}   -3.05{col 68}{space 3}0.002{col 76}{space 4} .0468244{col 89}{space 3} .5127019
{txt}{space 27}clinton {c |}{col 36}{res}{space 2} .6171753{col 48}{space 2}  .330683{col 59}{space 1}   -0.90{col 68}{space 3}0.368{col 76}{space 4} .2159405{col 89}{space 3} 1.763936
{txt}{space 28}bush43 {c |}{col 36}{res}{space 2} .2147036{col 48}{space 2} .1571096{col 59}{space 1}   -2.10{col 68}{space 3}0.036{col 76}{space 4} .0511648{col 89}{space 3} .9009633
{txt}{space 29}_cons {c |}{col 36}{res}{space 2}  .000333{col 48}{space 2} .0018214{col 59}{space 1}   -1.46{col 68}{space 3}0.143{col 76}{space 4} 7.35e-09{col 89}{space 3} 15.09087
{txt}{hline 35}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 29}/ln_p {c |}{col 36}{res}{space 2} .9878179{col 48}{space 2} .0303399{col 59}{space 1}   32.56{col 68}{space 3}0.000{col 76}{space 4} .9283529{col 89}{space 3} 1.047283
{txt}{hline 35}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                                 p {c |}{col 36}{res}{space 2} 2.685368{col 48}{space 2} .0814737{col 76}{space 4} 2.530338{col 89}{space 3} 2.849897
{txt}                               1/p {c |}{col 36}{res}{space 2} .3723884{col 48}{space 2} .0112982{col 76}{space 4} .3508898{col 89}{space 3} .3952041
{txt}{hline 35}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {res:_cons} estimates baseline hazard{txt}.{p_end}

{com}. *
. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}       860{col 28}-830.8551{col 39}-497.8504{col 50}    24{col 58} 1043.701{col 69} 1157.867
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] BIC note}}.{p_end}

{com}. *
. * Assess the Total Effect of Appointee Loyalty on Appointee Tenure in Priority Agencies: Priority Agency as Conditioning Covariate * 
. lincom  zloyalmedian + 1.soubinaryagency2nom#c.zloyalmedian, hr

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[_t]zloyalmedian + [_t]1.soubinaryagency2nom#c.zloyalmedian = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .8672139{col 26}{space 2} .0750582{col 37}{space 1}   -1.65{col 46}{space 3}0.100{col 54}{space 4} .7319037{col 67}{space 3}  1.02754
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. * Assess the Total Effect of Appointee Loyalty on Appointee Tenure in Priority Agencies: Appointee Loyalty as Conditioning Covariate * 
. lincom  1.soubinaryagency2nom + 1.soubinaryagency2nom#c.zloyalmedian, hr

{p 0 7}{space 1}{text:( 1)}{space 1} {res}[_t]1.soubinaryagency2nom + [_t]1.soubinaryagency2nom#c.zloyalmedian = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .7275853{col 26}{space 2} .1353575{col 37}{space 1}   -1.71{col 46}{space 3}0.087{col 54}{space 4} .5052767{col 67}{space 3} 1.047704
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. *
. *
. estimates store model4
{txt}
{com}. estout model4, cells(b(star fmt(3)) se(par fmt(3))) eform
{res}
{txt}{hline 28}
{txt}                   model4   
{txt}                     b/se   
{txt}{hline 28}
{res}_t                          {txt}
{txt}zloyalmedian{res}        1.375** {txt}
            {res}      (0.159)   {txt}
{txt}0.soubinar~m{res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}1.soubinar~m{res}        1.154   {txt}
            {res}      (0.206)   {txt}
{txt}0.soubinar~i{res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}1.soubinar~i{res}        0.631***{txt}
            {res}      (0.087)   {txt}
{txt}zpecompmed~n{res}        1.042   {txt}
            {res}      (0.082)   {txt}
{txt}zmecompmed~n{res}        0.985   {txt}
            {res}      (0.066)   {txt}
{txt}toplevel2   {res}        0.539***{txt}
            {res}      (0.057)   {txt}
{txt}presagency~n{res}        0.737   {txt}
            {res}      (0.185)   {txt}
{txt}presagency~d{res}        0.694   {txt}
            {res}      (0.176)   {txt}
{txt}subagencyd~n{res}        1.685** {txt}
            {res}      (0.297)   {txt}
{txt}standalone~n{res}        1.743*  {txt}
            {res}      (0.480)   {txt}
{txt}okstartsen~n{res}        0.000*  {txt}
            {res}      (0.000)   {txt}
{txt}okstartfil~e{res}      893.796** {txt}
            {res}   (2000.161)   {txt}
{txt}okcrossover {res}        0.175***{txt}
            {res}      (0.037)   {txt}
{txt}okstartpre~p{res}        0.990*  {txt}
            {res}      (0.005)   {txt}
{txt}okstartune~t{res}        1.130   {txt}
            {res}      (0.098)   {txt}
{txt}1.okstarta~r{res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}2.okstarta~r{res}        1.653*  {txt}
            {res}      (0.368)   {txt}
{txt}3.okstarta~r{res}        4.384***{txt}
            {res}      (0.924)   {txt}
{txt}4.okstarta~r{res}        3.943***{txt}
            {res}      (1.239)   {txt}
{txt}5.okstarta~r{res}        1.528   {txt}
            {res}      (0.379)   {txt}
{txt}6.okstarta~r{res}        3.451***{txt}
            {res}      (0.852)   {txt}
{txt}7.okstarta~r{res}        6.296***{txt}
            {res}      (1.866)   {txt}
{txt}8.okstarta~r{res}       10.022***{txt}
            {res}      (3.815)   {txt}
{txt}1.sbagency  {res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}2.sbagency  {res}        2.832***{txt}
            {res}      (0.761)   {txt}
{txt}3.sbagency  {res}        1.809*  {txt}
            {res}      (0.455)   {txt}
{txt}4.sbagency  {res}        1.235   {txt}
            {res}      (0.275)   {txt}
{txt}5.sbagency  {res}        1.042   {txt}
            {res}      (0.277)   {txt}
{txt}6.sbagency  {res}        2.510***{txt}
            {res}      (0.591)   {txt}
{txt}7.sbagency  {res}        1.787*  {txt}
            {res}      (0.512)   {txt}
{txt}8.sbagency  {res}        2.373** {txt}
            {res}      (0.628)   {txt}
{txt}9.sbagency  {res}        2.225** {txt}
            {res}      (0.559)   {txt}
{txt}11.sbagency {res}        3.704***{txt}
            {res}      (1.145)   {txt}
{txt}12.sbagency {res}        1.710** {txt}
            {res}      (0.290)   {txt}
{txt}13.sbagency {res}        1.544   {txt}
            {res}      (0.364)   {txt}
{txt}14.sbagency {res}        2.419** {txt}
            {res}      (0.662)   {txt}
{txt}15.sbagency {res}        1.619   {txt}
            {res}      (0.412)   {txt}
{txt}16.sbagency {res}        0.849   {txt}
            {res}      (0.138)   {txt}
{txt}17.sbagency {res}        1.616***{txt}
            {res}      (0.125)   {txt}
{txt}18.sbagency {res}        1.939*  {txt}
            {res}      (0.530)   {txt}
{txt}19.sbagency {res}        0.804   {txt}
            {res}      (0.124)   {txt}
{txt}20.sbagency {res}        0.303***{txt}
            {res}      (0.088)   {txt}
{txt}21.sbagency {res}        0.881   {txt}
            {res}      (0.080)   {txt}
{txt}22.sbagency {res}        0.523   {txt}
            {res}      (0.175)   {txt}
{txt}23.sbagency {res}        1.176   {txt}
            {res}      (0.294)   {txt}
{txt}24.sbagency {res}        0.341** {txt}
            {res}      (0.134)   {txt}
{txt}25.sbagency {res}        1.502** {txt}
            {res}      (0.217)   {txt}
{txt}26.sbagency {res}        0.806   {txt}
            {res}      (0.124)   {txt}
{txt}27.sbagency {res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}28.sbagency {res}        1.381***{txt}
            {res}      (0.132)   {txt}
{txt}29.sbagency {res}        3.336***{txt}
            {res}      (1.073)   {txt}
{txt}30.sbagency {res}        1.401   {txt}
            {res}      (0.405)   {txt}
{txt}50.sbagency {res}        1.942***{txt}
            {res}      (0.377)   {txt}
{txt}51.sbagency {res}        3.050***{txt}
            {res}      (0.774)   {txt}
{txt}52.sbagency {res}        1.571   {txt}
            {res}      (0.506)   {txt}
{txt}53.sbagency {res}        1.501***{txt}
            {res}      (0.159)   {txt}
{txt}54.sbagency {res}        1.599*  {txt}
            {res}      (0.304)   {txt}
{txt}55.sbagency {res}        1.063   {txt}
            {res}      (0.362)   {txt}
{txt}56.sbagency {res}        0.979   {txt}
            {res}      (0.358)   {txt}
{txt}57.sbagency {res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}58.sbagency {res}        1.157   {txt}
            {res}      (0.375)   {txt}
{txt}59.sbagency {res}        0.378***{txt}
            {res}      (0.091)   {txt}
{txt}60.sbagency {res}        0.946   {txt}
            {res}      (0.137)   {txt}
{txt}61.sbagency {res}        1.000   {txt}
            {res}          (.)   {txt}
{txt}reagan      {res}        0.062** {txt}
            {res}      (0.059)   {txt}
{txt}bush41      {res}        0.155** {txt}
            {res}      (0.095)   {txt}
{txt}clinton     {res}        0.617   {txt}
            {res}      (0.331)   {txt}
{txt}bush43      {res}        0.215*  {txt}
            {res}      (0.157)   {txt}
{txt}_cons       {res}        0.000   {txt}
            {res}      (0.002)   {txt}
{txt}{hline 28}
{res}/                           {txt}
{txt}ln_p        {res}        2.685***{txt}
            {res}      (0.081)   {txt}
{txt}{hline 28}

{com}. 
. 
. 
. *** COMPUTE Figure 2: Interquartile Increase Marginal Effect Change of Appointee Loyalty on the HAZARD RATIO of APPOINTEE TENURE {c -(}PP − NPP Difference{c )-} {c -(}{c -(}4 [M1−M4] × 1 Horizontal Point Estimates and 95% CIs{c )-}{c )-}. ****
. ** NOTE: IQR = 1.3653231 [0.9692858 - (-0.3960373)]
. 
. lincomest 1.soubinaryagency2nom#c.zloyalmedian*1.3653231, eform(hr)
{txt}Confidence interval for formula:
{res}1.soubinaryagency2nom#c.zloyalmedian*1.3653231

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          _t{col 14}{c |}         hr{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .5329473{col 26}{space 2} .1003618{col 37}{space 1}   -3.34{col 46}{space 3}0.001{col 54}{space 4} .3684601{col 67}{space 3} .7708644
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. matrix model4zloyal = r(table)
{txt}
{com}. mat list model4zloyal
{res}
{txt}model4zloyal[9,1]
               (1)
     b {res}  .53294727
{txt}    se {res}  .10036181
{txt}     z {res} -3.3419205
{txt}pvalue {res}  .00083201
{txt}    ll {res}   .3684601
{txt}    ul {res}  .77086444
{txt}    df {res}          .
{txt}  crit {res}   1.959964
{txt} eform {res}          1
{reset}
{com}. 
. 
. 
. 
. **** COMPUTE Figure 3: Interquartile Increase Marginal Effect Change of Appointee Loyalty on the MEDIAN NUMBER OF DAYS OF APPOINTEE TENURE {c -(}PP − NPP Difference{c )-} {c -(}{c -(}4 [M1−M4] × 1 Horizontal Point Estimates and 95% CIs{c )-}.
. ** NOTE: IQR = 1.3653231 [0.9692858 - (-0.3960373)]
. 
. ** Re-Estimate Model 4  with 'manual' interaction variable **
. streg   zloyalmedian soubinaryagency2nom loyalppdiff  zpecompmedian  zmecompmedian   toplevel2   presagencyideolalign  presagencyideolopposed subagencydesign standaloneagencydesign  okstartsenpolarizationmean okstartfilipresdistance   okcrossover okstartpresapp okstartunemployment  i.okstartadyr i.sbagency reagan bush41 clinton bush43, distribution(weibull) hr vce(cluster sbagency)

         {txt}failure _d:  {res}singleadmin_service
   {txt}analysis time _t:  {res}okapptdur
{txt}note: 27.sbagency omitted because of collinearity
note: 57.sbagency omitted because of collinearity
note: 61.sbagency omitted because of collinearity

Fitting constant-only model:

Iteration 0:   log pseudolikelihood = {res}-1012.6928
{txt}Iteration 1:   log pseudolikelihood = {res}-835.21164
{txt}Iteration 2:   log pseudolikelihood = {res}-830.85586
{txt}Iteration 3:   log pseudolikelihood = {res}-830.85509
{txt}Iteration 4:   log pseudolikelihood = {res}-830.85509

{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-830.85509}  
Iteration 1:{space 3}log pseudolikelihood = {res:-604.21225}  
Iteration 2:{space 3}log pseudolikelihood = {res:-499.15183}  
Iteration 3:{space 3}log pseudolikelihood = {res:-497.85317}  
Iteration 4:{space 3}log pseudolikelihood = {res:-497.85043}  
Iteration 5:{space 3}log pseudolikelihood = {res:-497.85043}  
{res}
{txt}Weibull PH regression

No. of subjects      = {res}         860             {txt}Number of obs    =  {res}       860
{txt}No. of failures      = {res}         831
{txt}Time at risk         = {res}      850034
{col 49}{help j_robustsingular##|_new:Wald chi2(22)}{txt}{col 66}=  {res}         .
{txt}Log pseudolikelihood =   {res}-497.85043             {txt}Prob > chi2      =  {res}         .

{txt}{ralign 92:(Std. Err. adjusted for {res:41} clusters in sbagency)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                        _t{col 28}{c |} Haz. Ratio{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}zloyalmedian {c |}{col 28}{res}{space 2} 1.375024{col 40}{space 2} .1587628{col 51}{space 1}    2.76{col 60}{space 3}0.006{col 68}{space 4} 1.096551{col 81}{space 3} 1.724215
{txt}{space 7}soubinaryagency2nom {c |}{col 28}{res}{space 2} 1.153634{col 40}{space 2}  .205655{col 51}{space 1}    0.80{col 60}{space 3}0.423{col 68}{space 4} .8134419{col 81}{space 3} 1.636098
{txt}{space 15}loyalppdiff {c |}{col 28}{res}{space 2} .6306902{col 40}{space 2} .0869891{col 51}{space 1}   -3.34{col 60}{space 3}0.001{col 68}{space 4} .4812963{col 81}{space 3} .8264557
{txt}{space 13}zpecompmedian {c |}{col 28}{res}{space 2} 1.041572{col 40}{space 2} .0817388{col 51}{space 1}    0.52{col 60}{space 3}0.604{col 68}{space 4} .8930797{col 81}{space 3} 1.214755
{txt}{space 13}zmecompmedian {c |}{col 28}{res}{space 2} .9846415{col 40}{space 2}  .065965{col 51}{space 1}   -0.23{col 60}{space 3}0.817{col 68}{space 4}  .863481{col 81}{space 3} 1.122803
{txt}{space 17}toplevel2 {c |}{col 28}{res}{space 2} .5394921{col 40}{space 2} .0567041{col 51}{space 1}   -5.87{col 60}{space 3}0.000{col 68}{space 4} .4390544{col 81}{space 3} .6629058
{txt}{space 6}presagencyideolalign {c |}{col 28}{res}{space 2} .7369114{col 40}{space 2} .1849133{col 51}{space 1}   -1.22{col 60}{space 3}0.224{col 68}{space 4} .4506331{col 81}{space 3} 1.205057
{txt}{space 4}presagencyideolopposed {c |}{col 28}{res}{space 2} .6935274{col 40}{space 2} .1764129{col 51}{space 1}   -1.44{col 60}{space 3}0.150{col 68}{space 4}  .421253{col 81}{space 3} 1.141785
{txt}{space 11}subagencydesign {c |}{col 28}{res}{space 2} 1.685222{col 40}{space 2} .2970439{col 51}{space 1}    2.96{col 60}{space 3}0.003{col 68}{space 4} 1.192946{col 81}{space 3} 2.380637
{txt}{space 4}standaloneagencydesign {c |}{col 28}{res}{space 2} 1.743278{col 40}{space 2} .4804177{col 51}{space 1}    2.02{col 60}{space 3}0.044{col 68}{space 4} 1.015757{col 81}{space 3} 2.991874
{txt}okstartsenpolarizationmean {c |}{col 28}{res}{space 2} 7.77e-11{col 40}{space 2} 8.13e-10{col 51}{space 1}   -2.23{col 60}{space 3}0.026{col 68}{space 4} 9.78e-20{col 81}{space 3} .0617804
{txt}{space 3}okstartfilipresdistance {c |}{col 28}{res}{space 2} 893.7962{col 40}{space 2} 2000.161{col 51}{space 1}    3.04{col 60}{space 3}0.002{col 68}{space 4} 11.12747{col 81}{space 3} 71792.74
{txt}{space 15}okcrossover {c |}{col 28}{res}{space 2} .1747373{col 40}{space 2}  .037021{col 51}{space 1}   -8.23{col 60}{space 3}0.000{col 68}{space 4} .1153572{col 81}{space 3} .2646835
{txt}{space 12}okstartpresapp {c |}{col 28}{res}{space 2} .9902345{col 40}{space 2} .0045307{col 51}{space 1}   -2.14{col 60}{space 3}0.032{col 68}{space 4} .9813942{col 81}{space 3} .9991544
{txt}{space 7}okstartunemployment {c |}{col 28}{res}{space 2} 1.130022{col 40}{space 2} .0980922{col 51}{space 1}    1.41{col 60}{space 3}0.159{col 68}{space 4} .9532305{col 81}{space 3} 1.339603
{txt}{space 26} {c |}
{space 15}okstartadyr {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 1.653304{col 40}{space 2} .3679208{col 51}{space 1}    2.26{col 60}{space 3}0.024{col 68}{space 4}  1.06888{col 81}{space 3} 2.557268
{txt}{space 24}3  {c |}{col 28}{res}{space 2} 4.383809{col 40}{space 2} .9244283{col 51}{space 1}    7.01{col 60}{space 3}0.000{col 68}{space 4} 2.899719{col 81}{space 3} 6.627463
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 3.942686{col 40}{space 2} 1.239194{col 51}{space 1}    4.36{col 60}{space 3}0.000{col 68}{space 4} 2.129403{col 81}{space 3} 7.300061
{txt}{space 24}5  {c |}{col 28}{res}{space 2}  1.52843{col 40}{space 2}  .378723{col 51}{space 1}    1.71{col 60}{space 3}0.087{col 68}{space 4} .9404376{col 81}{space 3} 2.484054
{txt}{space 24}6  {c |}{col 28}{res}{space 2} 3.451085{col 40}{space 2} .8518352{col 51}{space 1}    5.02{col 60}{space 3}0.000{col 68}{space 4} 2.127417{col 81}{space 3} 5.598333
{txt}{space 24}7  {c |}{col 28}{res}{space 2} 6.295532{col 40}{space 2} 1.865565{col 51}{space 1}    6.21{col 60}{space 3}0.000{col 68}{space 4} 3.522043{col 81}{space 3} 11.25305
{txt}{space 24}8  {c |}{col 28}{res}{space 2} 10.02152{col 40}{space 2} 3.814879{col 51}{space 1}    6.05{col 60}{space 3}0.000{col 68}{space 4} 4.752342{col 81}{space 3} 21.13291
{txt}{space 26} {c |}
{space 18}sbagency {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 2.832157{col 40}{space 2}  .761487{col 51}{space 1}    3.87{col 60}{space 3}0.000{col 68}{space 4} 1.672065{col 81}{space 3} 4.797128
{txt}{space 24}3  {c |}{col 28}{res}{space 2} 1.808613{col 40}{space 2} .4552409{col 51}{space 1}    2.35{col 60}{space 3}0.019{col 68}{space 4} 1.104313{col 81}{space 3} 2.962097
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 1.234729{col 40}{space 2} .2752436{col 51}{space 1}    0.95{col 60}{space 3}0.344{col 68}{space 4} .7976698{col 81}{space 3} 1.911261
{txt}{space 24}5  {c |}{col 28}{res}{space 2} 1.041834{col 40}{space 2} .2765581{col 51}{space 1}    0.15{col 60}{space 3}0.877{col 68}{space 4} .6192193{col 81}{space 3} 1.752882
{txt}{space 24}6  {c |}{col 28}{res}{space 2} 2.509995{col 40}{space 2} .5911122{col 51}{space 1}    3.91{col 60}{space 3}0.000{col 68}{space 4}  1.58202{col 81}{space 3} 3.982297
{txt}{space 24}7  {c |}{col 28}{res}{space 2} 1.786664{col 40}{space 2} .5124548{col 51}{space 1}    2.02{col 60}{space 3}0.043{col 68}{space 4} 1.018356{col 81}{space 3} 3.134631
{txt}{space 24}8  {c |}{col 28}{res}{space 2} 2.373431{col 40}{space 2} .6278618{col 51}{space 1}    3.27{col 60}{space 3}0.001{col 68}{space 4} 1.413194{col 81}{space 3}  3.98613
{txt}{space 24}9  {c |}{col 28}{res}{space 2} 2.225332{col 40}{space 2} .5587987{col 51}{space 1}    3.19{col 60}{space 3}0.001{col 68}{space 4} 1.360352{col 81}{space 3}  3.64031
{txt}{space 23}11  {c |}{col 28}{res}{space 2} 3.703864{col 40}{space 2} 1.144586{col 51}{space 1}    4.24{col 60}{space 3}0.000{col 68}{space 4} 2.021215{col 81}{space 3} 6.787308
{txt}{space 23}12  {c |}{col 28}{res}{space 2} 1.709868{col 40}{space 2}  .290355{col 51}{space 1}    3.16{col 60}{space 3}0.002{col 68}{space 4} 1.225798{col 81}{space 3} 2.385099
{txt}{space 23}13  {c |}{col 28}{res}{space 2} 1.544219{col 40}{space 2} .3641007{col 51}{space 1}    1.84{col 60}{space 3}0.065{col 68}{space 4} .9727696{col 81}{space 3} 2.451364
{txt}{space 23}14  {c |}{col 28}{res}{space 2} 2.418647{col 40}{space 2} .6620859{col 51}{space 1}    3.23{col 60}{space 3}0.001{col 68}{space 4} 1.414368{col 81}{space 3} 4.136017
{txt}{space 23}15  {c |}{col 28}{res}{space 2} 1.618903{col 40}{space 2} .4115568{col 51}{space 1}    1.90{col 60}{space 3}0.058{col 68}{space 4} .9836234{col 81}{space 3} 2.664483
{txt}{space 23}16  {c |}{col 28}{res}{space 2} .8490932{col 40}{space 2} .1381262{col 51}{space 1}   -1.01{col 60}{space 3}0.315{col 68}{space 4} .6172857{col 81}{space 3} 1.167951
{txt}{space 23}17  {c |}{col 28}{res}{space 2} 1.615731{col 40}{space 2} .1250727{col 51}{space 1}    6.20{col 60}{space 3}0.000{col 68}{space 4} 1.388283{col 81}{space 3} 1.880442
{txt}{space 23}18  {c |}{col 28}{res}{space 2} 1.938672{col 40}{space 2} .5299753{col 51}{space 1}    2.42{col 60}{space 3}0.015{col 68}{space 4} 1.134517{col 81}{space 3} 3.312817
{txt}{space 23}19  {c |}{col 28}{res}{space 2} .8042553{col 40}{space 2} .1243205{col 51}{space 1}   -1.41{col 60}{space 3}0.159{col 68}{space 4} .5940412{col 81}{space 3} 1.088858
{txt}{space 23}20  {c |}{col 28}{res}{space 2} .3030017{col 40}{space 2} .0883753{col 51}{space 1}   -4.09{col 60}{space 3}0.000{col 68}{space 4} .1710718{col 81}{space 3} .5366754
{txt}{space 23}21  {c |}{col 28}{res}{space 2} .8814764{col 40}{space 2} .0799942{col 51}{space 1}   -1.39{col 60}{space 3}0.164{col 68}{space 4}  .737843{col 81}{space 3}  1.05307
{txt}{space 23}22  {c |}{col 28}{res}{space 2} .5227794{col 40}{space 2} .1752233{col 51}{space 1}   -1.94{col 60}{space 3}0.053{col 68}{space 4} .2710291{col 81}{space 3} 1.008373
{txt}{space 23}23  {c |}{col 28}{res}{space 2}  1.17553{col 40}{space 2} .2936578{col 51}{space 1}    0.65{col 60}{space 3}0.517{col 68}{space 4} .7204371{col 81}{space 3} 1.918101
{txt}{space 23}24  {c |}{col 28}{res}{space 2} .3410356{col 40}{space 2} .1339979{col 51}{space 1}   -2.74{col 60}{space 3}0.006{col 68}{space 4} .1578883{col 81}{space 3} .7366299
{txt}{space 23}25  {c |}{col 28}{res}{space 2} 1.502269{col 40}{space 2} .2167586{col 51}{space 1}    2.82{col 60}{space 3}0.005{col 68}{space 4} 1.132218{col 81}{space 3} 1.993267
{txt}{space 23}26  {c |}{col 28}{res}{space 2}   .80574{col 40}{space 2} .1241772{col 51}{space 1}   -1.40{col 60}{space 3}0.161{col 68}{space 4} .5956778{col 81}{space 3} 1.089879
{txt}{space 23}27  {c |}{col 28}{res}{space 2}        1{col 40}{txt}  (omitted)
{space 23}28  {c |}{col 28}{res}{space 2} 1.381344{col 40}{space 2} .1321202{col 51}{space 1}    3.38{col 60}{space 3}0.001{col 68}{space 4} 1.145217{col 81}{space 3} 1.666157
{txt}{space 23}29  {c |}{col 28}{res}{space 2} 3.335883{col 40}{space 2} 1.073496{col 51}{space 1}    3.74{col 60}{space 3}0.000{col 68}{space 4} 1.775383{col 81}{space 3} 6.268009
{txt}{space 23}30  {c |}{col 28}{res}{space 2} 1.401228{col 40}{space 2} .4054011{col 51}{space 1}    1.17{col 60}{space 3}0.244{col 68}{space 4} .7947687{col 81}{space 3} 2.470456
{txt}{space 23}50  {c |}{col 28}{res}{space 2} 1.941637{col 40}{space 2} .3765196{col 51}{space 1}    3.42{col 60}{space 3}0.001{col 68}{space 4} 1.327713{col 81}{space 3} 2.839435
{txt}{space 23}51  {c |}{col 28}{res}{space 2} 3.049867{col 40}{space 2}  .774135{col 51}{space 1}    4.39{col 60}{space 3}0.000{col 68}{space 4} 1.854487{col 81}{space 3} 5.015772
{txt}{space 23}52  {c |}{col 28}{res}{space 2} 1.571156{col 40}{space 2} .5056538{col 51}{space 1}    1.40{col 60}{space 3}0.160{col 68}{space 4} .8361271{col 81}{space 3} 2.952339
{txt}{space 23}53  {c |}{col 28}{res}{space 2} 1.501159{col 40}{space 2} .1594852{col 51}{space 1}    3.82{col 60}{space 3}0.000{col 68}{space 4} 1.218973{col 81}{space 3} 1.848671
{txt}{space 23}54  {c |}{col 28}{res}{space 2} 1.599048{col 40}{space 2} .3037601{col 51}{space 1}    2.47{col 60}{space 3}0.013{col 68}{space 4} 1.101957{col 81}{space 3} 2.320376
{txt}{space 23}55  {c |}{col 28}{res}{space 2} 1.062978{col 40}{space 2} .3619615{col 51}{space 1}    0.18{col 60}{space 3}0.858{col 68}{space 4}  .545351{col 81}{space 3} 2.071917
{txt}{space 23}56  {c |}{col 28}{res}{space 2} .9789283{col 40}{space 2}  .357858{col 51}{space 1}   -0.06{col 60}{space 3}0.954{col 68}{space 4} .4781728{col 81}{space 3} 2.004089
{txt}{space 23}57  {c |}{col 28}{res}{space 2}        1{col 40}{txt}  (omitted)
{space 23}58  {c |}{col 28}{res}{space 2} 1.157172{col 40}{space 2} .3752958{col 51}{space 1}    0.45{col 60}{space 3}0.653{col 68}{space 4} .6128225{col 81}{space 3} 2.185047
{txt}{space 23}59  {c |}{col 28}{res}{space 2} .3777419{col 40}{space 2} .0908125{col 51}{space 1}   -4.05{col 60}{space 3}0.000{col 68}{space 4} .2358081{col 81}{space 3} .6051062
{txt}{space 23}60  {c |}{col 28}{res}{space 2} .9463974{col 40}{space 2} .1372484{col 51}{space 1}   -0.38{col 60}{space 3}0.704{col 68}{space 4} .7122471{col 81}{space 3} 1.257524
{txt}{space 23}61  {c |}{col 28}{res}{space 2}        1{col 40}{txt}  (omitted)
{space 26} {c |}
{space 20}reagan {c |}{col 28}{res}{space 2} .0624967{col 40}{space 2} .0587982{col 51}{space 1}   -2.95{col 60}{space 3}0.003{col 68}{space 4} .0098862{col 81}{space 3} .3950805
{txt}{space 20}bush41 {c |}{col 28}{res}{space 2} .1549419{col 40}{space 2} .0945989{col 51}{space 1}   -3.05{col 60}{space 3}0.002{col 68}{space 4} .0468244{col 81}{space 3} .5127019
{txt}{space 19}clinton {c |}{col 28}{res}{space 2} .6171753{col 40}{space 2}  .330683{col 51}{space 1}   -0.90{col 60}{space 3}0.368{col 68}{space 4} .2159405{col 81}{space 3} 1.763936
{txt}{space 20}bush43 {c |}{col 28}{res}{space 2} .2147036{col 40}{space 2} .1571096{col 51}{space 1}   -2.10{col 60}{space 3}0.036{col 68}{space 4} .0511648{col 81}{space 3} .9009633
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}  .000333{col 40}{space 2} .0018214{col 51}{space 1}   -1.46{col 60}{space 3}0.143{col 68}{space 4} 7.35e-09{col 81}{space 3} 15.09087
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}/ln_p {c |}{col 28}{res}{space 2} .9878179{col 40}{space 2} .0303399{col 51}{space 1}   32.56{col 60}{space 3}0.000{col 68}{space 4} .9283529{col 81}{space 3} 1.047283
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                         p {c |}{col 28}{res}{space 2} 2.685368{col 40}{space 2} .0814737{col 68}{space 4} 2.530338{col 81}{space 3} 2.849897
{txt}                       1/p {c |}{col 28}{res}{space 2} .3723884{col 40}{space 2} .0112982{col 68}{space 4} .3508898{col 81}{space 3} .3952041
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {res:_cons} estimates baseline hazard{txt}.{p_end}

{com}. 
. estimates store model4a
{txt}
{com}. 
. margins, predict(median time) at(loyalppdiff=(-0.3960373 0.9692858))
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       860
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted median _t, predict(median time)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:loyalppdiff}{space 5}{txt:=} {space 2}-.3960373}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:loyalppdiff}{space 5}{txt:=} {space 3}.9692858}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 924.6994{col 26}{space 2} 26.60939{col 37}{space 1}   34.75{col 46}{space 3}0.000{col 54}{space 4} 872.5459{col 67}{space 3} 976.8528
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1168.908{col 26}{space 2} 58.94499{col 37}{space 1}   19.83{col 46}{space 3}0.000{col 54}{space 4} 1053.378{col 67}{space 3} 1284.438
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ** Generate Differential Predicted Median Survival Time of Senate Committee Stage of Confirmation Process -- Based on Interquartile Differential [corresponding to Differential Marginal Hazard Ratio Estimates] **
. margins, predict(median time) at(loyalppdiff=(-0.3960373 0.9692858))  contrast(atcontrast(r))
{res}
{txt}Contrasts of predictive margins{col 49}Number of obs{col 67}= {res}       860
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted median _t, predict(median time)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:loyalppdiff}{space 5}{txt:=} {space 2}-.3960373}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:loyalppdiff}{space 5}{txt:=} {space 3}.9692858}{p_end}
{p2colreset}{...}

{res}{col 1}{text}{hline 13}{c TT}{hline 11}{hline 12}{hline 11}
{col 14}{text}{c |}         df{col 26}        chi2{col 38}     P>chi2
{res}{col 1}{text}{hline 13}{c +}{hline 11}{hline 12}{hline 11}
{space 9}_at {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}    10.06{col 38}{space 2}   0.0015
{col 1}{text}{hline 13}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}   Contrast{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 9}_at {c |}
{space 3}(2 vs 1)  {c |}{col 14}{res}{space 2} 244.2082{col 26}{space 2} 77.00348{col 37}{space 5} 93.28416{col 51}{space 3} 395.1323
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. matrix model4azloyal = r(table)
{txt}
{com}. mat list model4azloyal
{res}
{txt}model4azloyal[9,1]
            r2vs1.
              _at
     b {res} 244.20821
{txt}    se {res} 77.003481
{txt}     z {res} 3.1713918
{txt}pvalue {res}  .0015171
{txt}    ll {res} 93.284156
{txt}    ul {res} 395.13225
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         0
{reset}
{com}. 
. 
. 
. estimates restore model4a
{txt}(results {stata estimates replay model4a:model4a} are active now)

{com}. 
. margins, predict(median time) at(loyalppdiff=(-0.6451644 1.711348))
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}       860
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted median _t, predict(median time)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:loyalppdiff}{space 5}{txt:=} {space 2}-.6451644}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:loyalppdiff}{space 5}{txt:=} {space 3}1.711348}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 885.9905{col 26}{space 2} 35.34227{col 37}{space 1}   25.07{col 46}{space 3}0.000{col 54}{space 4}  816.721{col 67}{space 3} 955.2601
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1327.694{col 26}{space 2} 116.1924{col 37}{space 1}   11.43{col 46}{space 3}0.000{col 54}{space 4} 1099.961{col 67}{space 3} 1555.427
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, predict(median time) at(loyalppdiff=(-0.6451644 1.711348))  contrast(atcontrast(r))
{res}
{txt}Contrasts of predictive margins{col 49}Number of obs{col 67}= {res}       860
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted median _t, predict(median time)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:loyalppdiff}{space 5}{txt:=} {space 2}-.6451644}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:loyalppdiff}{space 5}{txt:=} {space 3}1.711348}{p_end}
{p2colreset}{...}

{res}{col 1}{text}{hline 13}{c TT}{hline 11}{hline 12}{hline 11}
{col 14}{text}{c |}         df{col 26}        chi2{col 38}     P>chi2
{res}{col 1}{text}{hline 13}{c +}{hline 11}{hline 12}{hline 11}
{space 9}_at {res}{col 14}{text}{c |}{result}{space 2}        1{col 26}{space 3}     9.14{col 38}{space 2}   0.0025
{col 1}{text}{hline 13}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}   Contrast{col 26}   Std. Err.{col 38}     [95% Con{col 51}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
{space 9}_at {c |}
{space 3}(2 vs 1)  {c |}{col 14}{res}{space 2} 441.7037{col 26}{space 2} 146.1002{col 37}{space 5} 155.3525{col 51}{space 3} 728.0549
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. matrix model4bzloyal = r(table)
{txt}
{com}. mat list model4bzloyal
{res}
{txt}model4bzloyal[9,1]
            r2vs1.
              _at
     b {res}  441.7037
{txt}    se {res} 146.10022
{txt}     z {res} 3.0232925
{txt}pvalue {res}  .0025004
{txt}    ll {res} 155.35253
{txt}    ul {res} 728.05486
{txt}    df {res}         .
{txt}  crit {res}  1.959964
{txt} eform {res}         0
{reset}
{com}. 
. **** COMPUTE Figure 4: Predicted Differential Survival Function based on Varying Levels of Appointee Loyalty [q = 10, q = 50, q = 90] Between Policy Priority versus Non−Policy Priority Executive Agencies: PP − NPP Difference {c -(}{c -(}[M2]: 3 Predicted Survival Curves{c )-}{c )-} *****
. 
. ** NOTE: AL: Q=10: -0.6451644;  AL: Q=50: -0.1646416; & AL: Q=90: 1.711348 **
. 
. estimates restore model4a
{txt}(results {stata estimates replay model4a:model4a} are active now)

{com}. 
. stcurve, survival at1(zloyalmedian=1.711348) at2(zloyalmedian=-0.1646416) at3(zloyalmedian=-0.6451644) ///
> ylabel(0(.1)1, angle(0) labsize(small)) xlabel(0(500)4000, labsize(small)) lcolor(black black black) ///
> lpattern(solid dash dash_3dot) legend(lab(1 "Low Loyalty (q=10)") lab(2 "Moderate Loyalty (q=50)") lab(3 "High Loyalty (q=90)") rows(1))legend(size(vsmall)) ///
> xline(365 730 1095 1460 1825 2190 2555 2920, lcolor(red%30) lpattern(solid)) ///
> xtitle("Leadership Appointee Tenure Duration (Days)", size(small) margin(t=2)) ytitle("Survival Rate", size(small) margin(t=2)) ///
> title("FIGURE 4", size(small)) subtitle("Predicted Survival Function Differential Between" "Policy Priority Agencies versus Non-Policy Priority Agencies" "[Varying Levels of Presidential Loyalty: Model 4]", size(small))
{res}{txt}
{com}. 
. graph save "Graph" "C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Appointee Tenure Project\Jason Byers\March 2023\DART (PRQ)\Graphics\Figure4.gph", replace
{txt}(note: file C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Appointee Tenure Project\Jason Byers\March 2023\DART (PRQ)\Graphics\Figure4.gph not found)
{res}{txt}(file C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Appointee Tenure Project\Jason Byers\March 2023\DART (PRQ)\Graphics\Figure4.gph saved)

{com}. 
. 
. 
. 
. ***************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. *Figure 2
. 
. matrix pointmodel = model1zloyal[1,1], model2zloyal[1,1], model3zloyal[1,1], model4zloyal[1,1]
{txt}
{com}. 
. *
. matrix cimodel = (model1zloyal[5,1], model2zloyal[5,1], model3zloyal[5,1], model4zloyal[5,1] \ model1zloyal[6,1], model2zloyal[6,1], model3zloyal[6,1], model4zloyal[6,1])
{txt}
{com}. 
. coefplot (matrix(pointmodel), ci((cimodel))), grid(none) xline(1, lcolor(red%40) lpattern(dash)) xtitle("Hazard Ratio", size(small) margin(t=2)) ylabel(1 "Model 1"  2 "Model 2"  3 "Model 3" 4 "Model 4", labsize(small) noticks) mlabel format(%9.3f) mlabposition(12) mlabsize(vsmall) xlabel(0(1)2, angle(0) labsize(small) format(%9.1f)) msymbol(o) mcolor(black) msize(small) title("FIGURE 2", size(small)) ciopts(lcolor(black)) legend(off) subtitle("Marginal Differential Effect of Presidential Loyalty on Appointee Tenure Hazard" "[Policy Priority Agencies versus Non-Policy Priority Agencies]", size(small))
{res}{txt}
{com}. 
. graph save "Graph" "C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Appointee Tenure Project\Jason Byers\March 2023\DART (PRQ)\Graphics\Figure2.gph", replace
{txt}(note: file C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Appointee Tenure Project\Jason Byers\March 2023\DART (PRQ)\Graphics\Figure2.gph not found)
{res}{txt}(file C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Appointee Tenure Project\Jason Byers\March 2023\DART (PRQ)\Graphics\Figure2.gph saved)

{com}. 
. 
. 
. 
. 
. 
. ***************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. *Figure 3
. 
. matrix pointmodel1 = model3azloyal[1,1], model3bzloyal[1,1], model4azloyal[1,1], model4bzloyal[1,1]
{txt}
{com}. 
. *
. matrix cimodel1 = (model3azloyal[5,1], model3bzloyal[5,1], model4azloyal[5,1], model4bzloyal[5,1] \ model3azloyal[6,1], model3bzloyal[6,1], model4azloyal[6,1], model4bzloyal[6,1])
{txt}
{com}. 
. coefplot (matrix(pointmodel1), ci((cimodel1))), grid(none) xtitle("Predicted Number of Days", size(small) margin(t=2)) ylabel(1 `" "Model 3" "Interquartile Change" "' 2 `" "Model 3" "Interdecile Change" "' 3 `" "Model 4" "Interquartile Change" "' 4 `" "Model 4" "Interdecile Change" "', labsize(small) noticks) mlabel format(%9.0f) mlabposition(12) mlabsize(vsmall) xlabel(0(100)800, angle(0) labsize(small) format(%9.0f))   msymbol(o) mcolor(black) msize(small) title("FIGURE 3", size(small)) ciopts(lcolor(black)) legend(off) subtitle("Marginal Differential Effect of Presidential Loyalty on Median Appointee Tenure" "[Policy Priority Agencies versus Non-Policy Priority Agencies]", size(small))
{res}{txt}
{com}. 
. graph save "Graph" "C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Appointee Tenure Project\Jason Byers\March 2023\DART (PRQ)\Graphics\Figure3.gph", replace
{txt}(note: file C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Appointee Tenure Project\Jason Byers\March 2023\DART (PRQ)\Graphics\Figure3.gph not found)
{res}{txt}(file C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Appointee Tenure Project\Jason Byers\March 2023\DART (PRQ)\Graphics\Figure3.gph saved)

{com}. 
. 
. 
. 
. ***************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Jason\Dropbox\Jason Byers\Co-Authored Projects\Projects with George Krause\Krause Projects\Confirmation Dynamics Project\Appointee Tenure Project\Jason Byers\March 2023\Dart (PRQ)\Output\Hardwiring Committment.MANUSCRIPT.04-21-2023.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}22 Apr 2023, 09:44:17
{txt}{.-}
{smcl}
{txt}{sf}{ul off}